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https://www.eventshigh.com/detail/bangalore/1bdc2b1ec0c548b2da236bb0d81a88dc-datahack-summit-2017

DataHack Summit 2017

12.998886,77.702501
Thu, 9 Nov 2017 9:00AM - Sat, 11 Nov 2017 5:00PM
Rs 13000
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Details

Details

A data science conference by Analytics Vidhya that brings together the finest data scientists from across the country & globe. Join us from 9 11 November and see live action in Advanced Analytics, Artificial Intelligence, Machine Learning & Deep Learning.

This is a unique opportunity to listen to amazing speakers, network with them and attend rigorous workshops. DataHack Summit 2017 will talk about new developments in the field of analytics and machine learning. Its a 3-days gathering of chief data scientists, advanced professionals, researchers, analysts, technology evangelists, data science experts data hackers and practitioners.

Highlights:

  • 3 Days
  • 5 Workshops
  • 30+ Talks
  • 10+ Hack Sessions
  • 2 Keynote Sessions
  • 2 Panel Discussions
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Workshops

Workshops

1. The MasterClass How to win Data Science Challenges?

Have you ever participated in data science competition and wondered what does it take to become a master? Have you struggled to improve your model beyond a particular score? Or you wonder what goes in the minds of top data scientist this workshop is what you are looking for.
This is a highly interactive experience with data science masters & top data scientists. The goal of this workshop is to provide a forum for exchanging ideas and new approaches to become masters of data science challenges. Through this workshop, the top data scientists from India will share how they approach data science competitions.

Prerequisites for the workshop:

  • Experience in programming (Python or R)
  • Knowledge of machine learning
  • Has participated in data science competitions or worked on real life data science projects

Structure of the workshop

This is an 8-hour workshop and includes the following modules:

  • Understanding of how Hackathons work
  • Preparing your Cross validation strategy
  • The importance of Feature Engineering
  • Models and Model tuning
  • Stacking & Ensembling
  • Mini Hack for 2 hours
  • Make sure you dont miss this advanced workshop on winning data science competitions & hackathons! Get your tickets today to access this full day session.

Instructors

  1. Sudalai Rajkumar
    Sudalai Rajkumar (aka SRK) is the Lead Data Scientist at Freshdesk, responsible for developing scalable machine learning / data science systems for the organization.
    He takes part in various data science competitions to enhance his knowledge and has won several of them. He is one of the top 30 data scientists in the world in Kaggle. He was ranked #1 on Analytics Vidhya for a long duration and is one of the top solver in CrowdAnalytix platform too.
  2. Bishwarup Bhattacharjee
    Bishwarup is a data scientist in profession with 7 years of cross-industry experience. He is working with VMware at present in the role of Senior Business Analyst. Bishwarup is very passionate about machine learning and aspires to build products in future to influence/facilitate complicated business decisions.
    He is the highest rated Kaggler from India (rank 23, previously 9) at this moment.

    Duration of Workshop: 8 hours

2. Machine Learning at Scale using SPARKML for Big Data

Wondering how to use machine learning at large scale? Join this curated workshop by our data science experts who will introduce Apache Spark to process a large amount of data and build different machine learning models using MLLib.
This workshop goes beyond building your expertise in applying different machine learning algorithms on huge data using MLLib. It focuses on how machine learning algorithms can be applied at scale to work on petabytes of data, to generate models used for predictions.

Prerequisites for the workshop:

  • Python programming experience
  • Basics of Machine Learning
  • Hands-on experience in pandas

Structure of the workshop

This is an 8-hour workshop and includes the following modules:

  • Introduction to Spark
  • Installing and setting up Spark
  • Spark APIs in Scala, Python, R
  • Basic syntax of Spark
  • Read, process, aggregate, write data
  • Modeling framework using MLLib
  • Different ML algorithms
  • Feature engineering
  • Evaluation metrics
  • Mini-hack
  • AMA

Make sure you dont miss this advanced workshop on SparkML for Big Data! Get your tickets today to access this full-day session.

Instructors

  1. Rohan Rao
    Rohan Rao (a.k.a. vopani) currently works as a Senior Data Scientist at Paytm, building machine learning solutions for the organization. Prior to this, he has worked with multiple startups in the machine learning space across various industries, platforms and products.
    He is a regular participant of hackathons and competitions, having won on several occasions, including the AV DataFest in April-2017, which ranks him #1 on the AV Leaderboard. Hes a Kaggle Grandmaster and ranks among the top-100 Kagglers in the world.
    Apart from Data Science, hes a 11-time National Champion in Sudoku and Puzzles, having represented India at the World Championships last 9 years.
  2. Phani Srikanth
    Phani Srikanth (a.k.a binga) works with the data science team at Reliance JioMoney where he overlooks all things related to data. From Product Analytics that help improve the product by collaborating with several teams to building Machine Learning solutions, hes a part of JioMoneys data initiatives.
    He has also been an active member on Kaggle and is also a top-5 member on AV rankings.

    Duration of Workshop: 8 hours

3. Natural Language Processing (NLP) for Beginners

Interacting with artificial intelligent systems seems a bit simulated at times. This is because the way we converse as humans to one another is completely different from that we do usually with AI systems.
Thankfully, research has been rampant in the area to bridge the gap in conversational AI systems. In this 8-hour workshop, you will get to know about natural language processing, creating word embeddings and developing learners to perform NLP tasks like sentiment analysis, auto correction and much more.

Structure of the workshop

This is an 8-hour workshop and includes the following modules:

  • What is Natural Language Processing?
  • Pre-Processing using Spacy
  • Linguistic tagging using Spacy
  • Word Vectors / Word Embeddings
  • Case studies of NLP task
  • Simple Learner
  • Project: Sentiment Analysis
  • Project: Spelling correction
  • Deep Learning in NLP
  • Where to go from here?

Make sure you dont miss this workshop on Natural Language Processing! Get your tickets today to access this full day session.

Instructors

  1. Rishabh Shukla
    Responsible for developing and supervising the R&D process at Neuron. Envisioned, researched and developed an industry-ready NLP platform. Working on a trainable Deep Learning Platform to facilitate the training of state-of-the-art NLP Models in a distributed infrastructure.
    Supervise the Open Source development of FactMatas Core NLP Engine, Backend, and Frontend Extension. Working on NLP models for ML-based Fact Checking.
    GSoC(er) at Mifos, a non-profit initiative and an open technology platform for nancial inclusion used by nancial services providers worldwide.
  2. Mukul Malik
    NLP engineer and researcher at Neuron.Optimize and improve industry-ready NLP platforms. Participate and mentor in communities like PyDelhi, PyData Delhi etc.
    Contributor at conferences like Pycon India.
    Working on Cloud-Based Deep Learning, Natural Language Interface for Database, Mimicking Human Reward Systems. Expertise in Semantic Recommendation Engines, Information Extraction, User Profiling, Text-based Embeddings, Big Data structuring

    Duration of Workshop: 8 hours

4. Hands-on Deep Learning Using TensorFlow

Do you want to jump into the Deep Learning bandwagon? Are you still stuck on grasping how backpropagation works? Then this workshop is for you! The goal of this workshop is to get you up to speed with the advancements in Deep Learning with a practical perspective.
Along with this, you will also get to know TensorFlow, a tool which has been getting heavy attention from the community due to its extensiveness in providing end-to-end solutions.

Prerequisites for the workshop:

  • Python programming experience
  • Basic knowledge of machine learning

Structure of the workshop

This is an 8-hour workshop and includes the following modules:

  • Introduction to Deep Learning
  • Getting started with Tensorflow
  • Features that TensorFlow provides
  • Data reading TFRecord
  • Visualization TensorBoard
  • Building a simple neural network with TensorFlow
  • Parameter tuning in Deep Learning
  • Applications of Deep Learning with use cases
  • Image Processing using Convolutional Neural Network
  • Natural Language Processing using Recurrent Neural Network and LSTM
  • Where to go from here?

Make sure you dont miss this workshop to have exposure to build deep learning models using Tensor Flow! Get your tickets today to access this full-day session.

Instructors

Navin Manaswi

Navin Manaswi is writing a book on Deep Learning by using Tensorflow. He has delivered end-to-end AI solutions for telecom, insurance, digital marketing and smart city. He has worked for Dubai Smart City Project, General Mills and was also a part of a consulting firm in Malaysia. At present, he offers consultancy for data science and AI projects. He is an active AI blogger and author of many articles on Deep Learning and Machine Learning

Duration of Workshop: 8 hours

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Hack Sessions

Hack Sessions

1. Machine Learning model in Production using Flask

Most of the times, the real use of our Machine Learning model lies at the heart of a product, which can be a component of an automated mailer system or a chatbot.
Majority of ML folks use R / Python for their experiments. But consumer of those ML models would be software engineers who use a completely different stack. To bridge between this gap, we follow an API first approach. In this session well be looking to create an API wrapper for our Machine Learning models and deploy them using Docker.

Structure of the hack-session

This is an 1-hour Hack-Session and includes the following modules:

  • Introduction to API creation and deployment frameworks in python
  • Creating an Machine Learning Model and wrapping it in an API
  • Deploying the model as a Web endpoint
  • How to integrate it with any web application

Make sure you dont miss this hack-session on machine learning model in production! Get your tickets today to access this session.

Instructor: Prathamesh Sarang

Duration of Hack-Session: 1 hour

2. Automate Machine Learning pipeline using MLBox

The power of machine learning comes with a price. Once you have the skills, the toolkit, the hardware, and the data, there is still the complexity involved in creating and fine-tuning a machine learning model.
But if the whole point of machine learning is to automate tasks that previously required a human being, wouldnt it be possible to automate this machine learning pipeline itself?
Automated Machine Learning has become a topic of considerable interest over the past year. It has been generating notable interest and gaining respect.

Structure of the hack-session

This is an 1-hour Hack-Session and includes the following modules:

  • The challenges that companies face today while finding the best ML solution
  • How is automated machine learning is solving the above challenge?
  • Overview on the existing solution: MLBox as a full automated tool & open source package
  • A walkthrough of using MLBox to solve machine learning problems

Make sure you dont miss this hack-session on automating machine learning pipeline! Get your tickets today to access this session.

Instructor: Axel Aronio De Romblay

Axel Aronio De Romblay is a Data Scientist at Groupe Crédit Agricole, Paris. He is passionate about Deep Learning and AutoML (Automated Machine Learning). He created MLBox. He has done his masters in Data Science at Ecole Polytechnique (top French engineering school)
He has worked on various domains : machine learning, automated machine learning, NLP/chatbot, deep learning, time series, and worked on Languages : Python, Spark, Java, many kore.
Previously, he was a Data Scientist in the R&D DataLab at BNP Paribas Cardif (worlwide insurance company)where he worked on Fraud detection. He has also worked in the DataLab at Ubisoft (French video game publisher).
Most importantly, Axel is the Author of MLBox automated machine learning python package. He is a Kaggle Expert and passionate about Machine Learning and Mathematics

Duration of Hack-Session: 1 hour

3. Image Classification using CNN-Deep Learning Architecture

Did you know that the Deep Learning boom which we see now has its roots in image processing? Attend this hack session to witness the massive advancement that deep learning provides in the field of image processing.

Structure of the hack-session

This is a 1-hour Hack- Session and includes the following modules:

  • Image Processing: Then and now
  • The Deep Learning Revolution
  • How does CNN work?
  • Case study of using CNN for Image classification

Make sure you dont miss this hack-session on Computer Vision using Deep Learning! Get your tickets today to access this full-day session.

Instructor

  • Prarthana Bhatt
  • Vikash Kumar

Duration of Hack-Session: 1 hour

4. Using Web Scraping to collect data from Web (using Python)

There is so much scope when it comes to extracting useful information from the internet. The problem lies in deriving structured information from the humungous spaghetti of data.

Structure of the hack-session

This is a 1-hour Hack- Session and includes the following modules:

  • What is Web Scraping?
  • Structuring the unstructured data on Internet
  • Case studies on Web Scraping
  • Extracting Tabular data
  • Extracting Image data
  • Extracting Textual Data

Make sure you dont miss this hack-session on Web Scraping to structure web data! Get your tickets today to access this session.

Instructor

  • Prarthana Bhatt
  • Vikash Kumar

Duration of Hack-Session: 1 hour

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Speakers

Speakers

Dr. Kirk Borne, Principal Data Scientist - Booz Allen Hamilton

Dr. Kirk Borne is the Principal Data Scientist and Executive Advisor at Booz Allen Hamilton (since 2015).He previously spent 12 years as Professor of Astrophysics and Computational Science at George Mason University where he taught and advised students in the Data Science degree programs. Before that, he worked 18 years supporting NASA projects in various roles, including Data Archive Project Scientist for the Hubble Space Telescope. He has a Ph.D. in Astronomy from Caltech and a BS in Physics from LSU. He has been consultant and adviser to numerous organizations, focusing on the use of data for discovery, decision support, innovation, and value creation across many different domains and industries. He is an active contributor to social media, where he has been named consistently among the top worldwide influencers in big data and data science since 2013.

Deep Thomas, Global Analytics Leader
 
Deep Thomas is a Global business leader and management professional with 20+ years of experience in Financial Services across the North America, Europe, Middle-east, and Asia-Pacific. He has excellent track record in delivering sustained increasing profitability through business transformation leveraging global processes, information solutions, and predictive analytics.

He expertise in:

  • Direct Marketing, Information Management, and Analytics for Retail Banking, Wealth Management, and Consumer Lending businesses across customer, product, channel, and pricing.
  • Advanced Analytics and Decision Science capabilities to drive customer marketing and risk management strategies, processes and cultural change.
  • The building, nurturing and leading high performing large-scale global analytic teams across multiple regions/Lines-of-Businesses with diverse business environments.

Dr. Satnam Singh, Chief Data Scientist - Acalvio Technologies

Dr. Satnam Singh is currently leading security data science development at Acalvio Technologies. He has more than a decade of work experience in successfully building data products from concept to production in multiple domains. In 2015, he was named as one of the top 10 data scientists in India.  To his credit, he has 25+ patents and 30+ journal and conference publications. Apart from holding a Ph.D. degree in ECE from the University of Connecticut, Satnam also holds a Masters in ECE from the University of Wyoming. Satnam is a senior IEEE member and a regular speaker at various Big Data and Data Science conferences.

Prithvi Chandrasekhar, Managing Director at InCred

Prithvi Chandrasekhar is Managing Director at InCred, a young financial services provider that addresses Indias previously under-served households and small businesses by leveraging the power of technology and data science. Prithvi is responsible for credit risk and analytics, is a member of InCreds Executive Committee. Previously, Prithvi served Experian as the global head of analytics, Capital One as a business unit head and credit program officer, and McKinsey & Company and Accenture as an expert-consultant. He has lived and worked in the UK, the USA and in India. He is a graduate of St. Stephens College and Chicago Booth and is the proud father of two daughters.

Anand S, Founder & CEO - Gramener

Anand is founder and CEO of Gramener, a leading Data Science company.Anand provides the technology leadership and strategic direction to the organization. Anand and his team explore insights from data and communicate these as visual stories. He has an MBA from IIM Bangalore and a B.Tech from IIT Madras. He has worked at IBM, Lehman Brothers, The Boston Consulting Group and Infosys Consulting. He blogs at S-ANAND.NET. Anand is a data geek and his affair with programmatically analyzing data began back in the mid-nineties when he was in college at IIT Madras. Taking off from there, Anand was drawn into the maze of data and his initial tools were Linux based grep, sed and awk. He then moved on to Shell scripts and PERL.
Tools are never the concern, the motive and the execution is, believes Anand.
 
Ratnakar Pandey, India Head: Analytics and Data Science at Kabbage
 
Ratnakar Pandey has more than 15 years of experience in analytics and data science fields. At Kabbage, he is leading the machine and deep learning models development activity across the customer lifecycle, from acquisition to customer engagement to fraud prevention to risk-based underwriting policy development.
Prior to joining Kabbage, he has been a part of the data science leadership team in Citigroup, Target, Texas Instruments, and few startups in India. He has got an MBA from ISB Hyderabad, MS from the University of Arkansas, and Btech from HBTI Kanpur.

Prarthana Bhat, Data Scientist at Flutura Decision Science and Analytics

She has implemented an analytical solution for one of the largest industrial adhesive manufacturing company which improved the quality of finished goods by using Dynamic Operating Procedure. With an Industry experience of 5 Years, she has worked in Manufacturing, IoT & Retail domains. She has hands-on knowledge of tools like R, Python, MongoDB.

Axel De Romblay, Author of MLBox - Automated Machine Learning Python Package

Axel Aronio De Romblay is a Data Scientist at Groupe Crédit Agricole, Paris. He is passionate about Deep Learning and AutoML (Automated Machine Learning). He created the mailbox. He has done his masters in Data Science at Ecole Polytechnique (top French engineering school). He has worked on various domains machine learning, automated machine learning, NLP/chatbot, deep learning, time series, and worked on Languages Python, Spark, Java, many kore. Previously, he was a Data Scientist in the R&D DataLab at BNP Paribas Cardif (worldwide insurance company) where he worked on Fraud detection. He has also worked in the DataLab at Ubisoft (French video game publisher). Most importantly, Axel is the Author of mailbox automated machine learning python package. He is a Kaggle Expert and passionate about Machine Learning and Mathematics.

Hariharasudhan B, Data Scientist in Smart City Projects, Singapore

He is an enthusiastic Data Science professional graduated from the National University of Singapore currently working for the Smart & Safe City projects in Singapore. He has an inimitable thirst for learning who strive to integrate knowledge into computer systems in order to solve complex real-world business problems requiring a high level of human expertise. The experienced communicator, a negotiator with technical ability to handle end to end data science projects from architecture till implementation leveraging best in class technologies and tools. Knowledge and experience in machine learning, data mining, social media analytics, transportation analytics, text analytics, marketing analytics, web analytics, customer analytics, predictive modeling, time series forecasting, recommendation engines and natural language processing. Working knowledge of diverse tools and languages including Python, R, Tableau, Microstrategy, SAP Lumira, IBM SPSS, WEKA, KNIME, and SQL.

Vijay Gable, Co-Founder, and CTO, Huew

Vijay Gabale obtained his Ph.D. in Computer Science and Engineering from IIT Bombay (2012) and subsequently worked with IBM Research Labs as Research Scientist for 2.5 years. He co-founded, Huew, a content-driven shopping destination that is organizing rich multi-media content on the web and connecting it to e-commerce websites. Vijay has over 10 years of experience in working with cutting-edge machine learning, deep learning, and networking systems.

Sonny Laskar, Senior Principal Architect at Microland

Sonny Laskar is a Senior Principal Architect at Microland building AI platforms. He is an alumnus of IIM Indore and has over a decade of work experience in the IT Industry working on Big Data, Cloud and Artificial Intelligence. He loves participating in Data Science Competitions.
He is a master Kaggler and ranked 6 on Analytics Vidhya.

Navin Manaswi, Author & AI Expert

Navin is an Artificial Intelligence expert who loves to solve problems of Computer Vision, Audio, Documents, Chatbots, and Blockchain.
He has been mentoring many AI companies especially those registered with 91SpringBoard, Consulting AI, Blockchain and IoT companies (Kryptoblocks, DataGlen). He is currently authoring a book on Deep Learning and Artificial Intelligence. He has conducted webinars, seminars, and training in AI and is working on Blockchain Smart Contracts globally. His skill-sets include Python, SciKit Learn Library, Tensorflow, Theano, R, Deep Learning, Machine Learning, OpenCV, Business Domain Knowledge, Social Media Analytics, Graph Database and Network Analysis, Data Visualization tools, d3, rChart and R-shiny. He is well versed with SQL as well as NOSQL especially MongoDB.

He expertizes in:

  • Simulation and Optimization techniques
  • Hidden Markow Models
  • Bayesian Networks
  • Internet of Things (IoT) and Smart City Project, Dubai. 
  • He has strong Experience of Data Mining
  • Statistical Modeling
  • Machine Learning and Visualization in Cancer Data Research
  • Oil and gas Exploration Data Analytics
  • Supply Chain Analytics
  • Finance Data Analytics
  • Social Media Analytics
  • Telecommunications Analytics.

 He is also recognized as one of top 10 data scientists of India.

Sudalai Rajkumar, Lead Data Scientist - Freshdesk, Kaggle Rank 31, AV Rank 2

Sudalai Rajkumar (aka SRK) is the Lead Data Scientist at Freshdesk, responsible for developing scalable machine learning/data science systems for the organization. Prior to this, he was part of the R&D team in Global Analytics doing machine learning research and then moved to Tiger Analytics, where he has solved a lot of interesting data science problems for various customers across the globe in multiple domains including finance, e-commerce, online advertising, health care, transportation, retail. He has worked on varied problems ranging from doing simple analysis on structured data to natural language processing and voice analytics in his career. Apart from his day job, he takes part in various data science competitions to enhance his knowledge and has won several of them. He is one of the top 30 data scientists in the world in Kaggle. He was ranked 1 in AV platform as well.

He is one of the top solvers in CrowdAnalytix platform too.

Prathamesh Sarang, Data Scientist, Lemoxo Technologies

Prathamesh Sarang works as a Data Scientist at Lemoxo Technologies. Previously he worked with Infosys for 4 years as a software developer. He handles the data and software engineering role alongside working on Data Science problems. Computer Vision & Reinforcement Learning are the areas that interest him personally. Hes an Electronics Engineering graduate from Vidyalankar Institute of Technology, Mumbai & holds a Post Graduate Diploma in Analytics from SP Jain School of Global Management, Mumbai. Apart from Data Science, hes (almost) a regular blogger, weird fiction enthusiast & a budding comic artist.

Keshav Dhandhania, Co-Founder at Compose Labs

Keshav Dhandhania is the co-founder of Compose Labs Inc. A web consumer company. Their first product, Common lounge, enables people to form online communities and have meaningful discussions around the content they are interested in. Before Compose Labs, Keshav co-founded EagerPanda Inc. which raised $4M+ in venture funding. During his time at the Massachusetts Institute of Technology (MIT), Keshavs research focused on a multitude of machine learning applications including user behavior, bioinformatics, computational neuroscience and natural language processing. In 2012, he worked on the early stages of Foursquares personalized recommendation engine (a location-based social network with 50M+ monthly active users, and 10B+ check-ins)

Vikash Kumar, Data Scientist At AIG

Vikash is a Data Scientist, AIG. He has built recommender systems, benchmarking models and automating claims using Computer Vision. With over 6 Years of industry experience, Vikash is a curious Data Explorer. He has worked in Domains like Insurance, IoT, Retail and is hands-on with R & Python. He stood 4th in predicting Exacerbation patients in Crowdanalytix competition and 137th Rossmann Sales Prediction in Kaggle Competition. He has also worked on healthcare data products - Physician Relationship management, acquisition, identifying patterns in utilization, physician referral, volume leakage and help physician liaison to understand their market share, protect, redirect and grow their business, and prepare for population management.

Rohan Rao, Senior Data Scientist at Paytm, Kaggle Rank 131, AV Rank 1

Rohan Rao (a.k.a. Vopani) currently works as a Senior Data Scientist at Paytm, building machine learning solutions for the organization. Prior to this, he has worked with multiple startups in the machine learning space across various industries, platforms, and products. He is a regular participant of hackathons and competitions, having won on several occasions, including the AV DataFest in April-2017, which ranks him 1 on the AV Leaderboard. Hes a Kaggle Grandmaster and ranks among the top-100 Kagglers in the world. Apart from Data Science, hes an 11-time National Champion in Sudoku and Puzzles, having represented India at the World Championships last 9 years.

Bishwarup Bhattacharjee, Senior Business Analyst at VMware, Kaggle Rank 23, AV Rank 9

Bishwarup is a data scientist in a profession with 7 years of cross-industry experience. He is working with VMware at present in the role of Senior Business Analyst. Bishwarup is very passionate about machine learning and aspires to build products in future to influence/facilitate complicated business decisions. He is the highest rated Kaggler from India (rank 23, previously 9) at this moment. In his spare time, he likes to play badminton and listen to music. Talk to Bishwarup Bhattacharjee about anything in Data & Stats

Dishashree Gupta, Data Scientist at Analytics Vidhya

Dishashree is currently a Data Scientist at Analytics Vidhya. She is very passionate about Machine Learning and Deep learning and is well versed with the algorithms and the math behind them. She has the vision of living in the world of smart and intelligent machines. Previously she worked as a Data Analyst with Latentview Analytics working with world leaders in technology. She did her Bachelors from Vellore Institute Of Technology and has been in the field of Data Science since then.

Phani Srikanth, Data Scientist at Reliance JioMoney

Phani Srikanth (A.K.A Binga) works with the data science team at Reliance JioMoney where he overlooks all things related to data. From Product Analytics that help improve the product by collaborating with several teams to building Machine Learning solutions, hes a part of JioMoneys data initiatives. He has also been an active member on Kaggle and is also among the top-5 members on AV rankings.

Bargava Subramanian, Practicing Data Scientist - RedHat

Bargava Subramanian is a practicing Data Scientist. He has 14 years of experience delivering business analytics solutions to Investment Banks, Entertainment Studios, and High-Tech companies. He has given talks and conducted workshops on Data Science, Machine Learning, Deep Learning and Optimization in Python and R. He has a Masters in Statistics from University of Maryland, College Park, USA. He is an ardent NBA fan.

Amit Kapoor, Founder & Partner - NarrativeViz Consulting

Amit Kapoor teaches the craft of telling visual stories with data. He conducts workshops and training on Data Science in Python and R, as well as on Data Visualisation topics. His background is in strategy consulting having worked with AT Kearney in India, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad.

Mukul Malik, Machine Learning Researcher at Neuronme

Mukul is an NLP engineer and researcher at Neuronme.com. In his experience, he has optimized and improved industry-ready NLP platforms. He has participated and mentored communities like PyDelhi, PyData Delhi etc. He has been a contributor at conferences like Pycon India. Mukul is currently working on Cloud-Based Deep Learning, Natural Language Interface for Database, Mimicking Human Reward Systems. Expertise in Semantic Recommendation Engines, Information Extraction, User Profiling, Text-based Embeddings, Big Data structuring.
 
Rishabh Shukla, CTO at Neuronme
Rishabh is the CTO at Neuron, a New Delhi based machine learning startup, and is involved with research and development of Scalable Deep Learning Models for Natural Language Processing (NLP). He is also a Core Team member and Open Source NLP Engineer with Factmata, an initiative to fight Fake News. He is an active open source contributor and has been a Google Summer of Code Intern in the past.
 
Jeeban Swain, Data Scientist at GE Digital

Jeeban Swain is currently working at GE Digital. He is an alumnus of NIT Warangal from the batch of 2010. Previously, he has worked as Senior Statistical Analyst at Walmart Labs. He has more than 5 years of experience in Data Science. He is great at handling Big Data and building machine learning solutions enjoys 3 things in Analytics- Machine Learning Image/Video Processing Natural Language Processing.

Faizan Shaikh, Data Scientist at Analytics Vidhya

Faizan is a Data Science enthusiast and a Deep learning rookie. A recent Comp. Sc. undergrad, he aims to utilize his skills to push the boundaries of AI research. He is currently working as a Data Scientist at Analytics Vidhya.

Neeraj Singh Sarwan, Data Scientist at Analytics Vidhya

Neeraj, currently working on NLP using Deep Learning, is a perpetual, quick learner and keen to explore the realm of Data Science. He is deeply excited about the times we live in and the rate at which data is being generated and being transformed into an asset. He is well versed with tools for dealing with data and also in the process of learning some other tools and knowledge required to exploit data.

Neeraj is currently working as a data scientist at Analytics Vidhya and is a graduate from IIT BHU.

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Map & Directions

Map & Directions
MLR Convention Centre- Whitefield Dyvasandra Industrial Layout Mahadevapura, Whitefield Kaveri Nagar, Krishnarajapura Bengaluru, Karnataka 560048

Frequently Asked Questions

FAQs
  • Q. do we get participation certificate?
    3:23 PM, 29 Oct, 2017
  •     A. Hi Arvind, You will get participation certificates for the workshops. Deepika
          4:54 AM, 30 Oct, 2017
  • Q. There are 3 types of tickets available for booking. But its not clear for which what are the sessions we will get? can you elaborate? For 6K session do i get 3days or only the 1st day?
    5:43 AM, 31 Oct, 2017
  •     A. Hi Bhasker, Here are the ticket types * Best Value (First Day Ticket) - This is a 1-day conference only ticket for 9-November and gives access to you for sessions on 9 November + gala dinner + hack session * Regular (Conference Ticket) - This is a 2- day conference only ticket for 9-10 November and gives access to you for sessions on 9-10 November + gala dinner + hack sessions on both days * Closing Combo: (Conference+Worskhop)- This is a 3- day conference +workshop ticket for 9-10-11 November and gives access to you for sessions on 9-10 November + gala dinner + hack sessions on both days+ workshop on 11 November Let me know which tickets are you looking to purchase. Deepika
          5:55 AM, 31 Oct, 2017
  • Q. I have some queries regarding buying tickets for Workshops and conference for our employees...Could you please call me on 99455 42505?
    9:05 AM, 08 Nov, 2017
  •     A. called and resolved
          9:12 AM, 08 Nov, 2017
Have any query? Drop your questions here !!
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