About

Sharda Borse is an accomplished Data Scientist with almost 7 years of relevant experience in the field. She is currently working as a Data Scientist at miq, where she is building a reinforcement learning agent to automate the advertising process from inventory recognition to the Recommendation Engine, Insights generation, and Optimization layer (RIO) part of a campaign cycle. Sharda is highly skilled in retargeting, strategy to target audience+context with optimized costs, and enhancing campaign performance. Prior to miq, Sharda worked as a Member of Technical Staff at Oracle and as a Research Intern at Siemens. She has also worked on an ML-based Prediction Framework for the ad-tech domain at Predict, which was featured in the top 10 Data Science products in India by Analytics India magazine. Sharda holds a Master of Technology in Computer Science (Specialization in data science) from IIIT Bangalore, a Bachelor of Technology in Information Technology from Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded, and a diploma in Information Technology from Government Polytechnic Nashik. Sharda has a diverse tech stack that includes Data Scientist, Research Scientist, SQL, Reinforcement Learning, Image Processing, ML, Python, Deep Learning, NLP, Spark, Neural Networks, Software Engineer, Hadoop, AI, Big Data, MySQL, NoSQL, Jenkins, Apache Hive, and Computer Vision. She is also active on Kaggle, Leetcode, and GitHub. Sharda is a highly motivated and results-driven individual who is passionate about using data science to solve complex problems. She has a proven track record of delivering high-quality results, and her expertise in the field makes her a valuable asset to any organization.