Atharva Rewatkar

I’m an AI/ML and data-focused professional trained through an MBA in Digital Transformation and a B.Tech in CSE (Artificial Intelligence and Machine Learning). I combine applied machine learning with data storytelling to turn raw signals into decisions.

In my internship work, I led user-profile analysis for Income Tax Returns across 100k US users, using Python with sklearn/scikit and Lime to surface key trends and anomalies, reaching 82.3% accuracy. I also built an ML model with DBSCAN, XGB, Logistic Regression, KMeans, and PCA to identify fraudulent users.

At Persistent Systems, I worked on a GenAI “Data Capsule” using Python—using Random Forest, SVM, and Isolation Forest to optimize data retrieval and identify bottlenecks. That effort improved retrieval speed by 46.3%, and I delivered a high-accuracy employee performance model (94%) during my Percept Infosystem Consultants internship.

I enjoy shipping end-to-end solutions, from model development to deployment. Highlights include a WL-ASL detection and recognition system achieving 92.4% accuracy and a Streamlit geopolitical intelligence dashboard (“The GeoLocator”) integrating 5+ real-time APIs with scalable pipelines and geospatial visualizations.