Entry-level data scientist working across Python, SQL, computer vision, and applied ML — from real-time object detection to local RAG pipelines. I like turning messy data into things people actually use.
I'm a Bangalore-based data scientist with a BCA background and hands-on experience across the full ML lifecycle — data cleaning, feature engineering, model development, and deployment.
My favorite part isn't the model, it's what happens after: getting it in front of real users. I've shipped a YOLO-based computer vision system, a local RAG pipeline for industrial part search, and several deployed analytics dashboards.
I'm looking for a team where I can keep doing exactly that — solving real business problems with data, not just building notebooks that never leave my laptop.
Regression, classification, clustering, CNNs
YOLO, OpenCV, real-time detection
Power BI, Streamlit dashboards
Streamlit, MLflow, GitHub, FAISS
The languages, libraries, and tools I reach for when building something end-to-end.
Five end-to-end projects — each one taken from raw data through to a deployed, usable interface.
Real-time object detection and classification system with a full deployment pipeline.
Urban safety intelligence dashboard for crime-hotspot identification.
Automated KPI tracking dashboard replacing manual spreadsheet reporting.
Regression system predicting monthly EMI from loan parameters.
Semantic search and substitution recommendations for industrial parts, running fully local with no external API calls.
Open to data science, ML, and analytics roles — happy to walk through any of these projects in more depth.