Summary
Aditya Srivastava is a Data Scientist based in Austin with a decade of experience building production-grade ML solutions across energy, semiconductor, and digital marketing domains. At IBM he engineered end-to-end anomaly and failure-prediction frameworks for industrial assets and prototyped computer-vision OCR and defect-detection pipelines for semiconductor manufacturing. Previously he delivered scalable, multi-model forecasting systems and automated ETL pipelines at Essence to predict ad-driven conversions and revenue with high accuracy, and earlier drove analytics-led growth in digital marketing. He blends hands-on Python/PySpark engineering with cloud deployment (IBM Cloud, GCP) and practical ML (time series, anomaly detection, object detection, Bayesian/ensemble methods). Colleagues value his ability to translate messy real-world data into repeatable, deployable models and reusable AI patterns that scale across teams.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at The LNM Institute of Information Technology
Master's degree, Master's degree at University of Cincinnati Carl H. Lindner College of Business
Hindi, English