Headline

Data Scientist | Data Analyst | Python • RAG • LangChain | Open to Work

About

Three years turning spreadsheets into operational dashboards. Now building models that actually ship. What that looks like in practice: 🔹 Customer Churn Prediction — Random Forest + SMOTE | 7,000+ telecom records | AUC: 0.84 | F1: 0.63 | Deployed on Streamlit Cloud 🔹 Retail Sales Forecasting — Holt-Winters + SARIMA + Prophet | 52 stores | MAPE: 3.3% | auto-selects best model per store 🔹 Customer Support RAG Bot — LangChain + ChromaDB + HuggingFace MiniLM + Groq LLaMA 3.3 70B | Deployed on Streamlit 🔹 Multilingual RAG Bot v2 — adds memory, multilingual support, RAGAS evaluation Core Skills: Python | SQL | Scikit-learn | LangChain | RAG | ChromaDB | HuggingFace | Power BI | Streamlit | DAX | Advanced Excel 3 years experience as Analyst (MIS reporting, Power BI dashboards, SQL, Power Query) + AnalytixLabs Data Science & ML Certification. Open to Data Analyst, Data Scientist roles Remote-friendly, open to relocating. 📁 Portfolio: https://bhardwajrenuka94.github.io

Location

Bengaluru

AI stack

antigravity

claude

gemini

github copilot

hugging face

langchain

Work experience

AI Training Data Specialist at Innodata Inc., Jun 2026 - Present · 5 mos, Bengaluru, Currently working as a Freelance AI Data Annotator with Innodata, contributing to AI model training and evaluation pipelines. • Performing image audit and quality assessment tasks to ensure annotation accuracy for AI training datasets • Evaluating 3D model outputs through interleaved object comparison and certification processes • Following strict quality guidelines and consistency standards for large-scale data annotation projects • Supporting AI/ML model improvement through structured data labeling and evaluation work

Data Science Trainee at AnalytixLabs, Feb 2024 - Sep 2025 · 1 yr 8 mos, • Built end-to-end ML pipelines — data ingestion, preprocessing, feature engineering, model training, and deployment • Developed Customer Churn Prediction model using Random Forest + SMOTE on 75,000+ records — F1: 0.86, AUC: 0.91, deployed on Streamlit Cloud • Built Retail Sales Forecasting system using Holt-Winters, SARIMA, and Prophet on 100,000+ records across 50+ stores — MAPE: 8%, Power BI dashboard

Analyst at Advocate Hanumant singh and Associates, Feb 2021 - Jan 2024 · 3 yrs, Karnal, • Managed and analyzed datasets using Excel and SQL for data reporting and MIS • Built dashboards and reports to track key business metrics • Automated repetitive data tasks reducing manual effort by 40% • Maintained data accuracy across multiple reporting cycles

Education

Bachelor's degree, Computer Science, Kurukshetra university