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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLO

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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLO

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KedarDamale/README.md

Kedar Damale — Applied Data Scientist and ML & GenAI Engineer. Complex data. Useful systems.

Portfolio   ·   LinkedIn   ·   Résumé   ·   Email

I’m Kedar, an ML & GenAI Engineer at Globalspace Technologies. I build analytical agents, machine learning systems, and financial automation that connect data to everyday decisions. My work spans pharmaceutical intelligence, audit workflows, computer vision, and research infrastructure.

B.E. in Information Technology · University of Mumbai · 8.5 CGPA · GATE DA 2026 qualified.

Selected impact

3M+ pharma records analyzed; 10K+ invoices reconciled; over 99.9% less reconciliation processing time; 98.57% chess detection accuracy across 500+ test images.

Where I’ve worked

Propelligence Advisors: Automation Developer, May 2025–January 2026. Globalspace Technologies: ML & GenAI Engineer, January 2026–present.

At Globalspace, I work on PatGPT’s analytical workflows over 3M+ pharmaceutical sales and tender records, with forecasting, simulations, evidence-grounded answers, and human review. I also build configurable budget and incentive calculations across organizational hierarchies.

At Propelligence, I automated purchase-register to GSTR-2B reconciliation with Polars and fuzzy matching. The module became part of Granska, used by two CA firms and approximately 20 auditors.

Selected projects

Chessablanka — reconstruct a chessboard from a photo with YOLOv8, OpenCV, and Stockfish. 98.57% detection accuracy across 500+ test images. NeuroTRIBE — reproducible cortical-response research using movie-fMRI data, Python, TRIBE v2, and Docker. Cattle Monitoring — GPS and RSSI telemetry, DBSCAN grazing-zone analysis, and a live dashboard. Automated Reconciliation — match purchase and tax records with Python, Polars, and RapidFuzz; 10,000+ invoices processed.

Explore more of my work →

Languages & tools

ML & computer vision

Python PyTorch NumPy pandas scikit-learn OpenCV

GenAI & agents

RAG LangGraph MCP Tool calling

APIs & data systems

FastAPI PostgreSQL MongoDB Redis

Build & ship

Docker AWS Git Linux TypeScript React

I enjoy problems where the model is one part of a larger system: reliable data pipelines, analytical agents, human review, and tools that make operational work easier.

GitHub stats & activity

GitHub statistics: public repositories, stars on owned projects, and commit, issue, pull-request, and review contributions. Refreshed hourly from GitHub.

Kedar Damale’s contribution activity across five calendar months, refreshed hourly.

Have an interesting data or AI problem?
Let’s talk.

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