About

Abhishek Navarkar is a highly skilled Data Scientist currently working at Amazon, with over 4 years of relevant experience in the field. He is passionate about developing data-driven solutions and has a proven track record of delivering impactful results in various domains. Abhishek's current work at Amazon involves time-series forecasting, causal inference, and growth decomposition. He has improved nowcasting accuracy by 20% for Profit and Loss (P&L) statement line items using machine learning models and achieved a 50% improvement in yearly and quarterly planning accuracy for over 200 product groups. He has also improved growth decomposition for various business metrics by 11% and aided in generating insights at different levels of granularity by leading development of Python modules and supporting deployment on an internal platform. Prior to his work at Amazon, Abhishek has worked as a Deep Learning Engineer and EDG Engineer at MathWorks. During his tenure, he implemented 50 TensorFlow models with custom layers and developed automated class-based integration tests for testing MATLAB's TensorFlow importer. He also initiated and led the development of a shipped example on implementing, back-testing, and deploying LSTM and ANN-based trading strategies using technical indicators and macroeconomic data in FRED database. Additionally, he developed a shipped example on battery life prediction from initial operation data using linear regression with elastic net regularization. Abhishek holds a Master's degree in Mechanical Engineering from Purdue University and a Bachelor of Technology (B.Tech.) with Honors in Mechanical Engineering from Indian Institute of Technology, Gandhinagar. He has a strong technical skill set, including expertise in Data Science, Research Science, Machine Learning, Deep Learning, Python, TensorFlow, and Integration. Overall, Abhishek is a highly motivated and results-driven Data Scientist with a passion for developing impactful data-driven solutions. He is a valuable asset to any team and is always looking for new challenges to further develop his skills.