---
title: "Renuka Bhardwaj - AI Training Data Specialist in Bengaluru | Tal"
description: "Meet Renuka Bhardwaj, Data Scientist | Data Analyst | Python • RAG • LangChain | Open to Work based in Bengaluru. AI stack includes antigravity, claude, and gemini."
image: "https://tal.club/meet/renuka-bhardwaj/share-image"
---

# Renuka Bhardwaj on Tal

## 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

[View the original profile](https://tal.club/meet/renuka-bhardwaj)

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