Archives: Speakers

Post Type Description

admin

Xander Steenbrugge

Xander is a computer-science engineer from Belgium, Europe, fascinated by Machine Learning and Artificial Intelligence. He’s also a YouTube vlogger at ‘Arxiv Insights’ and teaches a Reinforcement Learning MOOC that will be freely available on the edX platform starting from September.
Having worked as a Machine Learning engineer for almost 5 years, Xander has a wide expertise in domains such as computer vision (object tracking, optical character recognition, image classification, ..) , natural language processing (chatbots, text classification, etc.) and many others using open source libraries like TensorFlow and PyTorch in combination with powerful compute resources on the Google cloud platform.
Recently, Xander started focusing on the interface between academic research and the real world through a Ph.D. in Deep Reinforcement Learning focused on applying these novel algorithms to industrial process optimization. Xander’s latest side-project involves applying Generative Adversarial Networks (GANs) to new types of content creation for digital artists.
Xander is currently head of applied ML-research at Belgian AI scale-up ML6.

admin

Mohsin Hasan

Mohsin Khan (a.k.a. ‘Tezdhar’) currently works as a Machine Learning Engineer @ HealthifyMe. Prior to that, he was with Happiest Minds as a Senior Data Scientist and GE Aviation as a Data Scientist. He is a B.Tech graduate in Aerospace Engineering from IIT Kanpur.

Mohsin Khan has made winning Data Science competitions a habit at Analytics Vidhya in the past couple of years and has won several most competitive hackathons namely Innoplexus Hackathon, Capillary Machine Learning Hackathon and Churn Prediction Hackathon.

admin

Sudalai Rajkumar (SRK)

Sudalai Rajkumar (aka SRK) is a Data Scientist at H2O.ai Inc, building Driverless AI, an automated machine learning platform. He is currently leading the NLP efforts for this platform.

Prior to this, he has done both data science consulting and ML product development roles. In his 9+ years of experience, he has solved a lot of interesting data science problems in multiple domains including finance, customer support, e-commerce, health care, transportation.

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 a Kaggle Grandmaster in Competitions & Kernels section. He is currently ranked #3 on AV’s platform as well.

admin

Sahil Verma

Sahil Verma is a Senior Data Scientist at Aditya Birla Finance Limited. His work is primarily focused on creating machine learning solutions in the Fintech domain for private banks, NBFCs and Startups.

He is a Chemical Engineering graduate from IIT Delhi and is currently ranked 2nd on Analytics Vidhya’s global leaderboard.

Apart from his passion and interest in data science, Sahil loves to play football and is a huge Cristiano Ronaldo fan.

admin

Dat Tran

Dat is the Head of AI at Axel Springer Ideas Engineering, the innovation unit of Axel Springer SE which is the largest digital publishing house in Europe. He establishes and leads Axel Springer AI where his goal is to make AI more accessible within Axel Springer and hence drive innovations within the group. His ultimate plan is to turn Axel Springer into an AI first company.

Previously, he co-headed the data team at idealo.de where he built up the machine learning team from scratch. His team mainly focused on computer vision problems from teaching a computer to understand aesthetics to upscaling low-resolution images.
He is a regular speaker and has presented at several renowned conferences. He also blogs about his work on Medium. His background is in Operations Research and Econometrics. Dat received his MSc in Economics from Humboldt University of Berlin.
Dat’s interests are diverse from traditional machine learning, deep learning, AI in general to computer vision.

admin

Sayan Ranu

Sayan Ranu is an assistant professor in the department of Computer Science and Engineering at IIT Delhi. His research interests include spatio-temporal data analytics, graph indexing, and mining, and bioinformatics. Prior to joining IIT Delhi, he spent close to three years as an Assistant Professor at IIT Madras and a year and a half in the role of a Research Scientist at IBM Research.

He obtained his PhD from the Department of Computer Science, University of California, Santa Barbara (UCSB) in March 2012. He was a recipient of the “Distinguished Graduate Research Fellowship” at UCSB. He obtained his Bachelor of Science from Iowa State University, where he received the “President’s top 2% of the class” award.
He has published more than 35 papers in premier database, data-mining and bioinformatics venues, including SIGMOD, VLDB, KDD, and WWW. He received the Best Paper Award at the International Conference on Web Information Systems Engineering (WISE) 2016, Best-of-IEEE-ICDM-2016 selection, and Most Reproducible Paper Award at SIGMOD 2018. Sayan regularly serves in the program committees and review panels of prestigious conferences and journals including KDD, ICDE, ICDM, WWW, CIKM, TKDE, and VLDB Journal.
Sayan has been granted 4 US patents. Sayan’s dissertation on graph based techniques for querying and mining molecular databases served as the seed idea behind a life science based R&D start-up focusing on advanced technology for drug discovery. Sayan maintains his social footprint in his LinkedIn profile as well as his IIT-D homepage.

admin

Pavel Pleskov

Pavel graduated from Lomonosov Moscow State University (2010) and New Economic School (2012). For a year, he worked as a financial consultant at Oliver Wyman. Then he began to build algorithms in the high-frequency trading industry (HFT). For two years, he was a co-founder and CBDO of ThunderBid.
After that, he found his calling in Data Science. In a year and a half, Pavel became the 1st in Russia and the 3rd in the world competition ranking at Kaggle. Since then, he was professionally participating and helping to organize online competitions and hackathons in DS / ML. Pavel is a huge fan of traveling, motorcycles, and kitesurfing.

admin

Janu Verma

Janu Verma is a Machine Learning Scientist at CureFit. He work is focussed on recommendation and personalization using deep neural networks and graph embeddings. Previously, he was a researcher at IBM TJ Watson Research Center in New York and at Cornell University. His background is in pure mathematics and physics.
He is a coffee entrepreneur, cyclist, runner, and hiker. He aspires to become an endurance athlete (cycling, running and hiking).

admin

Rohan Rao

Rohan Rao (a.k.a. ‘vopani’) currently works as a Data Scientist @ H2O.ai.

He is a post-graduate in Applied Statistics from IIT-Bombay and part of elite group of Kaggle Grandmasters. His core expertise lies in driving, pipelining and building Machine Learning solutions hands-on.

Rohan’s work has revolved around leading small teams and architecting end-to-end ML-driven solutions in products/platforms and getting them live into production using Python (Jupyter), Scala (Zeppelin) and R (RStudio).

Prior to H2O.ai, he has worked with multiple startups in the machine learning space across various industries, platforms and products.

Apart from Data Science, he’s a 11-time National Champion in Sudoku and Puzzles, having represented India at the World Championships last 9 years.

admin

Dipanjan (DJ) Sarkar

Dipanjan (DJ) Sarkar is a Senior Data Scientist at Applied Materials, leading several advanced analytics efforts around computer vision, natural language processing and deep learning. He is also a Google Developer Expert in Machine Learning. He has consulted and worked with several startups as well as Fortune 500 companies like Intel and Open Source organizations like Red Hat. He primarily works on leveraging data science, machine learning and deep learning to build large- scale intelligent systems. He holds a master of technology degree with specializations in Data Science and Software Engineering. He is also an avid supporter of self-learning and massive open online courses.
Dipanjan has been an analytics practitioner for several years now, specializing in machine learning, natural language processing, computer vision and deep learning. Having a passion for data science and education, he also acts as an AI Advision and Mentor at various organizations like Springboard, where he helps people build their skills on areas like Data Science and Machine Learning. He also acts as a key contributor and Editor for Towards Data Science, a leading online journal focusing on Artificial Intelligence and Data Science. Dipanjan is also a published author, having authored several books on R, Python, Machine Learning, Social Media Analytics, Natural Language Processing, and Deep Learning.

In his spare time he loves reading, gaming, watching popular sitcoms and football and writing interesting articles on https://medium.com/@dipanzan.sarkar and https://www.linkedin.com/in/dipanzan. He is also a strong supporter of open-source and publishes his code and analyses from his books and articles on GitHub at https://github.com/dipanjanS.

Copyright 2019 Analytics Vidhya. All rights reserved