About

Aditya Shaha is a Data Scientist at Blinkit with a focus on interpretability of Machine Learning models. With over 3 years of relevant experience, he has a strong background in building end-to-end Machine Learning products. Aditya has previously worked on the Multi-arm Bandit problem in Reinforcement Learning and its application to solve the TONIC (Target Oriented Network Intelligence Collection) problem in Social Networks. Before joining Blinkit, Aditya worked as a Data Science Intern at Grofers, where he worked on optimizing the Supply Demand Chain. Aditya holds a Bachelor of Technology degree in Computer Science and Engineering from VIT, where he graduated in 2019. Aditya's technical skills include Data Science, Research Science, Machine Learning, Reinforcement Learning, AWS, Spark, and Python. He is a highly motivated and detail-oriented professional who is passionate about solving complex problems using data-driven approaches. Aditya's current role at Blinkit involves working on interpretability of Machine Learning models, which is a critical aspect of building reliable and trustworthy ML systems. He is dedicated to ensuring that the models he builds are transparent and explainable, enabling stakeholders to understand how the models make decisions. In summary, Aditya Shaha is a skilled Data Scientist with a strong background in building end-to-end Machine Learning products. He is passionate about solving complex problems using data-driven approaches and is dedicated to ensuring that the models he builds are transparent and explainable.