Gunjan Dewan

Gunjan has been working in the industry for 3+ years and has a background in Mathematics. Currently, she is working with the Fraud Team in the Gopay (Gojek) Data Science team.  She can talk about statistical models with you all day long and can’t help but notice patterns everywhere in her life. Along with her day job, she also mentors aspiring young data scientists. She currently a mentor at springboard.com for their course Data Science Career Track.

Developing a match-making Algorithm between Customers and Go-Jek Products (Talk)

Priyanshu Jain

Priyanshu Jain is a Data Scientist and a Machine Learning enthusiast with 6 years of experience. He graduated from IIT Delhi in 2014. He did B.Tech and M.Tech in Electrical engineering. He has worked with Barclays and Opera Solutions in the past. Currently, he is employed with Guavus Networks.

Automated Ticket Routing for Large Enterprises(Talk)

Kavita Dwivedi

Kavita is an Analytics leader with 12 + years of core hands-on experience having an excellent track record on Presales, Partner Management, Analytics Delivery, and Team management across domains in World-Class Organizations. Currently, she is heading the Data Science function at Infinite Sum Modeling. She is a Chemical Engineer by education followed by a Masters (Eco) from IGIDR. She is a seasoned analytics professional with work experiences across companies like Fair Isaac, Experian, Accenture, Infosys, and Vodafone. Her vast experience in domains like Banking, Insurance, Telecom, Fraud, and Risk Management gives her the right kind of diversification. She has published papers in areas of Financial Econometrics and Social Media Analytics. She has been an esteemed speaker at various national seminars on Analytics. Her passion for Analytics and learning drives her to explore newer technologies and innovations in Analytics space. She is currently leading the capabilities of the firm in the areas of data science and analytics training as well as new business development in several areas that include data science, business analytics, Artificial Intelligence, Data Mining, Machine learning, blockchain, robotic process automation, econometric modeling, CGE modeling, policy/business strategy analysis, among other areas of interest to the company.

Portfolio Valuation for a Retail Bank using Monte Carlo Simulation and Forecasting for Risk Measurement(Talk)

Soham Chakraborty, PhD

Soham Chakraborty is a Senior Data Scientist with a Statistical background. He works mostly in Manufacturing creating AI solutions using Machine Learning and Deep Learning techniques.

A Spurious Outlier Detection System For High Frequency Time Series Data(Talk)

Soumya Jain

 Soumya Jain is currently working as a data scientist II in MiQ. She has done her engineering in computer science from BIT Durg, and MTech from IIIT Bangalore in data Science specialization. She has been employed for the past 1.5 years. She has a keen interest in the field of data science and finding valuable information from a dataset and making great stories out of it is what drives me to learn more. 

Unsupervised Learning Approach for Identifying Retail Store Employees Using Footfall Data(Talk)

Amogh Kamat Tarcar

Amogh Kamat Tarcar is a Team Lead at Persistent Systems, exploring machine learning in CTO R&D team

Privacy-Preserving Machine Learning Techniques(Talk)

Upasana Roy Chowdhury

Upasana Roy Chowdhury is a data science consultant with supply chain and manufacturing experience.

AI in Manufacturing – Improving Process using Prescriptive Analytics(Talk)

Piyush Arora, PhD

Piyush Arora is a Research Scientist with American Express AI Labs, Bangalore, India since September 2019. Before joining American Express,  he was a Post-Doctoral researcher with the ADAPT Centre, Dublin, Ireland. He completed  PhD in computer science in August 2018 from Dublin City University, Ireland. 
His areas of interest are Information Extraction and Retrieval, Machine Learning, User Search Behavior, Natural Language Processing, Sentiment Analysis, and Deep Learning.
During his PhD, he worked in the area of Interactive Information Retrieval, towards developing novel solutions for improving the overall search experience and user learning.  Mainly focused on Natural Language Processing and Machine Learning techniques and tools and their application for different tasks, domains, and languages.
He is interested in learning and exploring more on how to use technology to bring changes at the root level, especially focusing on education and human learning, how can we make better societies and ecosystem with the use of technology. He believes “Guided Technology” can play an important role in the path towards a global sustainable world.

Natural Language Querying for Industry Grade Data Analytics Systems(Talk)

Pooja Balusani

Pooja Balusani is a Data Scientist at Noodle.ai for 2 years. She has a Bachelor of Technology in Computer Science and Engineering with a Specialization in Data Science from PES University, Bangalore. She worked on Reusable Data Science Assets, Product Quality, and Asset Health AI Applications.

Model Interpretability and Explainable AI in Manufacturing(Talk)

Kuldeep Jiwani

Researcher, Data Scientist, Data Science Architect, Performance specialist, Entrepreneur. Currently working as a Data Science Researcher and Director in Thales (Guavus) handling various Data Science projects. Along with actively exploring new techniques of Machine Learning via various research projects. Thus ensuring that Data Science could be effectively applied to real world scenarios and able to solve important problems.

Non-Parametric PDF Estimation for Advanced Anomaly Detection(Talk)

Ashwathi Nambiar

Ashwathi Nambiar is an experienced Software Engineer. Her interests are AI/ML/DL. Currently, she is working towards efficient embedded deployment of neural networks.

Quantization To The Rescue: An Edge AI Story(Talk)

Venkata Pingali, PhD

Venkata Pingali is an academic-turned entrepreneur. He works at the intersection of data, ML algorithms, and systems. He builds data products to speed up the adoption of ML in the enterprise. Scribble Data, his firm, offers a platform and managed service to production feature engineering.

Privacy-Law Aware ML Data Preparation(Talk)

Piyush Makhija

Piyush is a graduate from Georgia Institute of Technology and is currently working as an NLP Engineer at vahan.ai. After passing out from IITR with a Bachelors’s in ECE, he started out his career as a 4G protocol engineer but soon got attracted towards the fast-growing ML/AI domain. Over time he switched over to this domain and, after some exploration, found his interest in working with vernacular languages.

Normalizing User-Generated Text Data(Talk)

Aravind Kondamudi

Aravind Kondamudi is a Data Science enthusiast. He has completed  Dual Degree masters in BITS Pilani and currently working in Aditya Birla Group as a Data Scientist. His love for Data science started while he was working in a Microfluidics lab, he worked on modeling the flows using data science aspects rather than traditional computational modeling. Then he worked to model the metallurgical properties in multiferroic materials. Being a Manufacturing Engineer, He got a chance to work in Aditya Birla Group, a manufacturing giant. He currently works on improving the manufacturing process through Machine Learning models.

AI in Manufacturing – Improving Process using Prescriptive Analytics(Talk)

Ujwala Musku

Ujwala Musku works as a Data Scientist at MiQ Digital, and her work involves building revenue-based advanced analytics products within the digital advertising market. She has provided analytical and campaign management advice to top retail and travel clients at MiQ. She has experience in working in areas around retail analytics, supply chain optimization, and efficiency optimizations. Ujwala graduated with a B. Tech. in Chemical Engineering from IIT Guwahati, is a keen learner and inspired to build scalable ML solutions.

Supply Path Optimization in Video Advertising Landscape(Talk)

Dat Tran

Dat is the Head of AI at Axel Springer Ideas Engineering (https://axelspringerideas.de/), the innovation unit of Axel Springer SE which is the largest digital publishing house in Europe. He establishes and leads Axel Springer AI (https://ai.axelspringer.com/) 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. Dat’s interests are diverse from traditional machine learning, deep learning, AI in general to computer vision. 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 the Humboldt University of Berlin.

Imagededup – Finding Duplicate Images Made Easy!(Talk)

Saptarishi Dutta

Saptarishi is Sr. Analytics Consultant, India, supporting the SAS Platform product lines. In his current role, Saptarishi works with customers to collaborate with multiple stakeholders to ideate and build product prototypes for various business demands which can become a revenue potential. He has worked with customers in Financial Services, Insurance, and Manufacturing.
Saptarishi is passionate about discussion and designing solutions in the area of Machine Learning, Deep Learning, and Data warehousing.

Value of Analytics is in Consumption – Operationalize it (Demo Talk)

Akshay Bahadur

Akshay Bahadur’s interest in computer science sparked when he was working on a women’s safety application aimed towards the women’s welfare in India and since then he has been incessantly tackling social issues in India through technology. He is currently working alongside Google to make an Indian sign language recognition system (ISLAR) specifically aimed at running on low resource environments for developing countries. His ambition is to make valuable contributions towards the ML community and leave a message of perseverance and tenacity.
He’s one out of 8 Google Developers Expert (Machine Learning) from India along with being one of 150 members worldwide for the Intel Software Innovator program.

Indian Sign Language Recognition (ISLAR)(Talk)

Rajesh Shreedhar Bhat

Rajesh Shreedhar Bhat is working as a Data Scientist at Walmart Labs, Bangalore. His work is primarily focused on building reusable machine/deep learning solutions that can be used across various business domains at Walmart. He completed his Bachelor’s degree from PESIT, Bangalore and currently pursuing his MS in CS with ML specialization from Arizona State University. He has a couple of research publications in the field of NLP and vision, which are published at top tier conferences such as CoNLL, ASONAM, etc.. and he has filed 6 US patents in Retail space leveraging AI & ML. He is a Kaggle Expert(World Rank 966/122431) with 3 silver and 2 bronze medals and has been a selected as a speaker in highly recognized conferences/meetups such as O’Reilly Strata Data & AI Conference,  Spark AI Summit, California, Data Hack Summit, Kaggle days meet up – Senior Track, etc .. Apart from this, Rajesh is a mentor for Udacity Deep learning & Data Scientist Nanodegree programs for the past 3 years and has conducted ML & DL workshops in GE Healthcare, IIIT Kancheepuram and many other places.

Text Extraction from Images Using Deep Learning Techniques(Talk)

Pranay Dugar

Pranay Dugar is passionate about machine learning and deep learning. In specific, he has worked on object detection and has done projects such as text detection, facial recognition, DNA mutation detection. He is proficient in python and the tensor flow framework as well as Keras for creating and running my models. He has taken part in many hackathons, at both national and international levels, even going on to become the eventual winners in DreamWorks and Daimler. Our ‘Driver Distraction Detection’ based on Convolution neural network, was presented at the Mobile World Congress, Barcelona (2017) by Mercedes. He aims to create artificial intelligence that can observe and interact as well as any human.

Text Extraction from Images Using Deep Learning Techniques(Talk)

Deepesh Agrawal

Deepesh Agrawal experienced Machine Learning Engineer with a demonstrated history of working in the information technology and services industry, before this I was a Solution Architect with Nvidia’s partner. I have completed projects based on ML & DL such as video classification, object detection, and text analysis. Skilled in Python (Programming Language), C++, Data Science, and Deep Learning.

On-Demand Accelerating Deep Neural Network Inference via Edge Computing(Talk)

Vinayaka Mayura G G

Vinayaka Mayura has been working as a Quality Analyst for 8+ Years. Worked with companies like Thoughtworks, Rakuten, Flipkart. Has a specialization in testing unconventional software applications. Contributed a few bit to the community in open source projects and given talks at a few conferences.

Metamorphic Testing for Machine Learning Models with Search Relevancy Example(Talk)

Parthiban Srinivasan, PhD

Parthiban Srinivasan holds a dual Masters Degree- one in Science and the other in Engineering. Then, Ph.D. in Computational Chemistry from Indian Institute of Science, Bangalore. After his Ph.D., he continued research at NASA Ames Research Center (USA) and Weizmann Institute of Science (Israel). Then he worked at AstraZeneca in the area of Computer-Aided Drug Design for Tuberculosis. Later, he headed informatics business units in Jubilant Biosys and then in GvkBio before he floated the company, Parthys Reverse Informatics. Now his recent venture is VINGYANI, a data science company, with a focus on AI guided drug design and health.
Now, Parthi is also serving as Adjunct Faculty at the Indian Institute of Science Education and Research (IISER) Bhopal, teaching Artificial Intelligence.
Attended 5-day ODSC West, San Francisco, October 2019, and ODSC east, Boston, April 2020 (Virtual).

Coronavirus: Through The Lens Of AI(Talk)

Sharmistha Chatterjee

Sharmistha is currently working as a Senior Manager at Publicis Sapient where she is working on different AI, machine learning, and data governance problems. She holds a Master’s Degree in Computer Science and Engineering from Aalto University. Her Master’s thesis was done in collaboration with Nokia Research center under the supervision of Professor Joerg Ott (https://www.netlab.tkk.fi/~jo/), who is also the co-chair of SIP working group and other telecommunication research organizations and startups in Europe.
Sharmistha has in-depth expertise in productionizing and scaling AI solutions on AWS and Google Cloud. She is a certified Professional Google Cloud Architect. Prior to joining Publicis Sapient she has worked at a startup called Datami Mobile Solutions, sprung from Princeton University. Here she has filed 5 patents (https://patents.justia.com/inventor/sharmistha-chatterjee). Her work in SIP has been cited by Microsoft patent (https://patents.google.com/patent/US8682889B2/en).
She holds expertise in both research and productionizing scalable AI solutions, and skillset to bridge the gap between theory and practice. She has a proven track record of delivering complex innovative solutions to fortune 500 companies increasing revenue to $5M (in early-stage start-ups: Princeton University start-up, Ittiam Systems, SAP labs) to larger than $500M. She has worked with direct stakeholders, the world’s most renowned, award-winning research scientists in the field of telecom, media, advertising, and IOT domain. She is also a medium blogger.

Machine Learning and Data Governance in Telecom Industry(Talk)

Tanuj Jain

Tanuj Jain is a Senior Machine Learning Engineer working at Axel Springer AI (located in Berlin) since December 2019. He was previously a part of Data Science team at idealo Internet GmbH. His current interests revolve around deep learning research for speech and image processing. He completed  M.Sc. in Electrical Engineering from Paderborn University in 2015 and my B.Tech from GGSIP University, New Delhi in 2010. He is very interested in leveraging the power of machine learning to empower businesses and measure the impact thus created.