Archives: Speakers

Post Type Description

Aishwarya Singh

Aishwarya is currently working as a Data Scientist at Analytics Vidhya. She is a machine learning expert with a specialization in image processing.

She is one of the primary content curators and an instructor for Analytics Vidhya’s most popular course – Applied Machine Learning. She is also an avid reader and blogger who loves exploring the endless world of data science and artificial intelligence. She has written over 70 articles in recent years on various machine learning and deep learning topics and applications.

Pulkit Sharma

Pulkit is a Data Scientist at Analytics Vidhya. His research area lies in the field of Computer Vision and Deep Learning. He has been working on various projects related to images and videos for the past few years.

He is comfortable with Python, Keras, PyTorch and has done multiple projects using these frameworks and tools. Some of his key projects include Crowd Counting, Estimating the Screen Time in videos, Object Detection, and Image Segmentation.

He is one of the primary content curators for Analytics Vidhya’s courses, such as the Computer Vision using Deep Learning course and the Applied Machine Learning course. He is also an avid blogger and has written multiple detailed and in-depth guides on various computer vision topics and applications, ranging from Image Classification to Object Detection and Image Segmentation.

Jayatu Sen Chaudhury

Jayatu Sen Chaudhury is the Head of Enterprise Digital & Analytics India, and the Vice President, Global Commercial & Merchant Data Sciences for American Express India. Prior to this role, he was leading the Head of Global Information Management, Big Data Labs & Advanced Risk Capabilities. Jayatu has been a part of American Express since 2001, working in the various Decision Science Functions for both US and International markets.

Prior to joining American Express, Jayatu worked in Decision Science for two years each in GE Capital and ICICI Bank.

At AXP, Jayatu has been a key voting member of the Institutional Risk Committee and the BASEL & CCAR Modeling Strategy Committee. He was named RIM Fellow in 2015, which is awarded to exceptional talent within the organization, who are recognized for their advanced technical skills, delivering outstanding outcomes, deep subject matter expertise, a demonstrated passion for innovation, and who have created sustainable followership consistently for at least 10 years of tenure at American Express.

Jayatu is passionate about recruiting the best talent and grooming them for leadership positions across American Express and continually engages with Premium Campuses and Industry to Elevate the Brand of American Express. He has 3 Patents in Data Science, and holds a Masters in Quantitative Economics from JNU and a Ph.D. degree in Financial Economics from IGIDR, Economic Research Institute funded by the Central Bank of the Country (Reserve Bank of India).

In his free time, he enjoys long-distance running, reading and teaching.

Rajesh K Jeyapaul

Rajesh K Jeyapaul is a Senior AI Architect at IBM Digital Labs, India. He leads the Artificial Intelligence (AI) solution enablement for clients who enter the Digital Journey.

In his 25 years of technology journey, he has led multiple transformational projects on various technology stacks. He has co-authored 8 books. He also has 6 patents to his credit.

He started his career with the Indian Defense Research organization as a Research Fellow.

Apurva Gupta

Apurva works as a freelancer building computer vision systems that interact with users. In his previous roles (as ML lead at HealthifyMe and BloomReach), he built a food recognition system for global foods, semantic search algorithms for e-commerce companies, and smart captchas for payment websites. He also co-founded a startup that built eye gaze recognition systems allowing computer control without peripherals.

Prateek Jain

Prateek Jain is a senior researcher at Microsoft Research India. He is also an adjunct faculty member at the Computer Science department at IIT Kanpur.

He received his Ph.D. in Computer Science from the University of Texas at Austin and his B.Tech. in Computer Science from IIT Kanpur. His research interests are in resource-constrained machine learning, high-dimensional statistics, and non-convex optimization.

He is also interested in applications of machine learning to privacy, computer vision, text mining and natural language processing. He has served on several senior program committees for top ML conferences and also won ICML-2007, CVPR-2008 best student paper awards.

Durga Viswanatha Raju, Gadiraju

Durga, Gadiraju is Director and Founder of ITVersity, Inc. He is specialized in Training, Consulting and Engineering Services in the areas of Cloud and Big Data. He has 15+ years of enterprise experience in the areas of building Highly Scalable and Mission Critical Data-driven applications using technologies like Oracle, Goldengate, Informatica, Hadoop, Spark, Kafka, Databricks, AWS EMR, etc.

As part of Full Stack Data Engineering, he can take care of the following:

  • Building Data Lake either on-prem or cloud and get data from different sources.
  • Design Data Marts based on the reporting and visualization requirements.
  • Process Data in real-time or batch using relevant tech stack.
  • Build Full-Stack Web or Mobile applications to provide reports as per requirements.
  • Mobile and IoT analytics

Akash Tandon

Akash Tandon is a 2016 graduate from NIT Surat and is currently working as a Senior Data Engineer with Atlan, a data democratization firm, in New Delhi. Atlan had been selected as a technology pioneer by the World Economic Forum in 2018. Previously, he was at Socialcops, a data intelligence firm involved in the execution of large-scale projects with partners ranging from national governments to the UN.

Akash is part of the team building a product to ease data governance and operations. His current work is focused on operationalization of data science workflows and application of graph technology for data discovery. He is passionate about the democratization of data and AI/ML, and a strong believer of open source software and communities.

Mathangi Sri

Rated as one of top 10 data scientists in India, Mathangi is currently leading the Data Sciences team @Phonepe. She has 15+ years of proven track record in building world-class data sciences solutions and products.

Mathangi has 10 patent grants and 20+ patents pending in the area of intuitive customer service, indoor positioning and user profiles. She is adept in machine learning and text mining NLP technologies & tools.

Prior to Phonepe, she has built data science teams across organisations like Citi, 247 customer, and Emirates NBD.

Tarry Singh

Tarry Singh is Chairman & CEO of DeepKapha Ventures. He is co-founder and AI Researcher of the AI startups deepkapha.ai and curae.ai.

Tarry has over 17 years of experience working with data and has advised CxOs of global organizations to setup data-driven organizations from scratch. He speaks regularly at global AI leadership summits worldwide and conducts workshops on a regular basis with his TAs who are currently PhD’s in various disciplines such as NLP, Computer Vision, Robotics and other Artificial Intelligence disciplines.

He also participates in co-supervising Deep Learning PhD projects related to the above areas with the world’s leading universities in Germany, US, and China. Tarry is Adj. Professor/ Guest Lecturer to UTD Dallas Texas, University of Chicago, UPC Barcelona & Charité Berlin.

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