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
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.
