---
title: "Navaneet Kumar Ediga - Systems Engineer (Data Analyst) in Pune District | Tal"
description: "Meet Navaneet Kumar Ediga, Data Scientist & AI/ML Engineer | GenAI • LLMs • RAG • AI Agents | LangChain • Google Gemini • Python • SQL | Masters Data Science (USA) | Google × Kaggle AI Agents Capstone | Salesforce Agentblazer Champion based in Pune District. AI stack includes gemini, hugging face,..."
image: "https://tal.club/meet/navaneet-kumar/share-image"
---

# Navaneet Kumar Ediga on Tal

## Headline

Data Scientist & AI/ML Engineer \| GenAI • LLMs • RAG • AI Agents \| LangChain • Google Gemini • Python • SQL \| Masters Data Science \(USA\) \| Google × Kaggle AI Agents Capstone \| Salesforce Agentblazer Champion

## About

I've always known AI/ML was the direction I wanted to go\. Not because it's trending, but because I'm genuinely fascinated by how it fits into everyday life\. The way a well\-built model can solve a real problem someone faces every morning is what keeps me building\. I'm Navaneet, a Data Scientist and AI/ML Engineer based in Pune\. I did my M\.S\. in Data Science at Stevens Institute of Technology in the US \(Provost Scholarship, May 2025\)\. During my OPT year, instead of waiting around, I kept building\. The best example of why I build what I build: When I was job hunting in the US as an international student, I was drowning\. Visa timelines, OPT deadlines, career decisions all hitting at once\. Consulting fees were out of the question\. So I built GradPath Agent, an AI career planner for international students using Google Gemini and agentic workflows\. I built it because I needed it\. It earned a badge at the Google x Kaggle 5\-Day AI Agents Intensive Capstone \(Nov 2025\)\. That's the kind of engineer I am\. I build things that solve problems I can feel\. Other things I've shipped: \-> AgriScan: Won 2nd Prize at the GEC\-NIT Raipur Alumni AI Hackathon \(Nov 2025\) as the only developer on a 4\-person team\. Farmers needed a simple way to diagnose crop disease and get remedies\. Built it with YOLOv8, LangChain and LLaMA\-3, with Hindi/English voice support so the interface wouldn't be a barrier\. \-> EduBot: A RAG\-based study assistant \(Gemini \+ FAISS\) that turns any PDF into quizzes and answers questions grounded in the document\. Built it because generic chatbots hallucinate too much to be useful for studying\. \-> Published a research paper on ML\-based office security systems in IJAEMA journal\. My stack: Python, LangChain, Google Gemini, Google ADK, FAISS, Hugging Face, RAG, AI Agents, TensorFlow, PyTorch, YOLOv8, SQL, Power BI, FastAPI, Streamlit, Docker\. Earlier career: Data Analyst at Infosys on a US insurance \(P&C\) client\. SQL, Power BI dashboards, ETL validation, production support\. Currently holding: Salesforce Agentblazer Champion \(2026\) \+ Google x Kaggle AI Agents Capstone badge\. Looking for roles in AI/ML Engineering, Data Science or GenAI, especially at product\-focused companies where the work reaches real users\. Based in Pune, open to relocation across India and remote\. navaneetkumarediga@gmail\.com \| kaggle\.com/enavaneetkumar \| navaneet\-kumar\-ediga\-portfolio\.vercel\.app \| salesforce\.com/trailblazer/p99c70pl3utvc735zs

## Location

Pune District

## AI stack

gemini

hugging face

langchain

ollama

## Work experience

Systems Engineer \(Data Analyst\) at Infosys, Dec 2021 \- Aug 2022 · 9 mos, Pune District, Maharashtra, India, Worked as a Data Analyst on a US insurance client engagement \(Property & Casualty domain\), supporting reporting, data validation, and BI delivery across 10\+ source feeds and 1M\+ policy and claims records\. Wrote and tuned complex SQL queries in Oracle and WinSQL and worked with Informatica PowerCenter mappings to investigate data issues, validate ETL outputs, and produce ad\-hoc analyses for business and onsite stakeholders\. Built and maintained 5\+ Power BI dashboards on claims, premium, and policy metrics, giving business stakeholders self\-serve visibility and faster month\-end reporting\. Investigated and resolved 30\+ production tickets in a 24/7 support model \(job failures, data mismatches, Oracle performance\) and documented recurring fixes in the team KB to reduce repeat incidents\.

## Education

Master's degree, Data Science, Stevens Institute of Technology

Bachelor of Engineering \- BE, Computer Science Engineering, AISSMS Institute of Information Technology

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

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