Summary
Ankita Guha is a Data Architect with 8 years of experience designing and automating ETL/ELT pipelines across Azure and on-prem databases, and deploying machine learning and deep learning models for telemetry and battery systems. She blends statistical data modeling, predictive and prescriptive analytics, and practical data engineering—proficient in Python, R, SQL, Power BI, and cloud-native workflows—to turn messy telemetry and semi-structured data into operational dashboards and diagnostic tools. Her recent work includes migrating battery telemetry architectures to Azure, building DTC classification models, and applying survival analysis with PyTorch to cell reliability. Skilled at mentoring interns and liaising across functions, she pairs hands-on scripting (file conversion, blob processing, web-parsing) with strategic data modeling for decision support. A background spanning IP analysis to biomedical engineering informs her methodical approach to pattern recognition and reproducible analytics.
8 years of coding experience
7 years of employment as a software developer
Bachelors of Technology Biomedical/Medical Engineering, Bachelors of Technology Biomedical/Medical Engineering at West Bengal University of Technology, Kolkata
Master's of Science Business Analytics, Master's of Science Business Analytics at Oakland University
Bachelors Intellectual Property Law, Bachelors Intellectual Property Law at Indian Institute of Technology, Kharagpur
English, Hindi, Bengali