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Ritabrata Chakraborty

@ritabratachakraborty

Associate Data Scientist building RAG systems for climate policy analysis, with retrieval that cut unsupported claims by 63.5%.

Germany

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What I'm looking for

I'm seeking an Associate Data Scientist role in Germany.

My Master's thesis at the University of Europe for Applied Sciences was an LLM-powered climate policy summarizer and gap analyzer. I built a RAG application with GPT-4o, LangChain, ChromaDB, and FastAPI, and retrieval cut unsupported or fabricated claims by 63.5%.

I benchmarked GPT-4o, Mistral-7B, and LLaMA-3.1-8B as interchangeable backends, and evaluated generation quality with RAGAS and LLM-as-judge scoring. I also designed a failure taxonomy to support root-cause analysis.

At Anucriti, I analyzed market and competitor data and built Google Analytics dashboards for traffic, campaign ROI, and user behavior. I also built and optimized a Shopify storefront.

As a Data Science Intern at Statskew Techs, I built supervised machine-learning models and web scrapers for e-commerce analysis. At Tweek Labs, I developed a Python pipeline that extracted motion features from sensor data and was integrated into production.

Experience

Work history, roles, and key accomplishments

Data Specialist

Anucriti

Aug 2025 - Jul 2026 (11 months)

Performed EDA and statistical analysis on web-scraped market data, built Google Analytics dashboards for KPI monitoring, and optimized a Shopify e-commerce storefront.

Python EDA Statistical Analysis Google Analytics Shopify Web Scraping KPI Monitoring UX Optimization

Motion Data Analyst Intern

Tweek Labs

May 2023 - Jul 2023 (2 months)

Processed multivariate time-series sensor data, applied Savitzky-Golay smoothing, and built an automated analysis pipeline in Python for motion feature engineering.

Python Time Series Analysis Savitzky Golay Filters Feature Engineering Sensor data processing

Data Science Intern

Statskew Techs

Mar 2023 - May 2023 (2 months)

Delivered business insights for e-commerce decision-making by building supervised ML models with Scikit-Learn, and built web scrapers to collect large-scale e-commerce data.