Senior Data Science Specialist · Infineon Technologies · Bengaluru
I'm Joshua Stalin S (he/him) — I build AI & data products for semiconductor operations: Generative AI applications, scalable data pipelines, and Tableau analytics that bring supply chain intelligence to enterprise scale.
Right now I'm building
Where I've worked and what I delivered.
Apr 2026 — Present
Infineon Technologies · Excellence & Digitalization
Jan 2025 — Mar 2026
Infineon Technologies · Digitalisation & Excellence Team
Oct 2023 — Dec 2024
Infineon Technologies · ATV SPM MC
Sep — Oct 2023
Indian Institute of Astrophysics (IIA) · Bangalore
Jan — Apr 2023
Idea Elan · India
Things I've designed, built, and shipped.
Highlighting projects using
Full-stack app that decides when you should leave the office — combining real-time weather (Open-Meteo), live traffic (Google Maps), and your meeting calendar through a rules-based decision engine, with scheduled checks every 30 minutes and a React Native mobile dashboard.
Conversational intelligence over a complete enterprise Tableau estate: ask questions in plain English and get answers grounded in knowledge extracted from workbooks and dashboards, with end-to-end lineage tracing — chart → field → datasource → Prep flow → raw source — for impact analysis and debugging.
Orchestrator that routes business questions to specialist agents — text-to-SQL, analysis, and visualization — answering supply chain questions end-to-end and supporting planning decisions across inventory, allocation, and capacity.
The data foundation behind TableauTalk: a Python pipeline that parses raw Tableau workbooks, datasources, and Prep flows into a structured metadata knowledge base with deep backward lineage, served through a FastAPI layer backed by MySQL.
Excel and web-based tool that automated routine manual reporting tasks for the team, saving effort equivalent to one full-time employee.
🏆 Recognised with an Infineon Spot Award
Conversational assistant that understands natural-language questions and guides users to the most relevant Tableau dashboards through API-integrated recommendations, built with NLP and LLM techniques.
Knowledge base and recommendation system over a university faculty database — matching students to mentors by topics of interest and enabling research-paper analysis, using Neo4j graph relationships, cosine-similarity ranking, and content-based search with a ReactJS frontend.
NLP and LLM-based tool that extracts concise summaries from large research documents, simplifying the literature-review process for PhD candidates.
Platform helping farmers track cultivation and manage marketing — crop, harvest, and expenditure records, soil/climate-based crop suggestions, and an auction module that lets farmers sell produce at fair prices without middlemen.
Blockchain-based e-commerce platform for trading crops and farming materials, bringing transparent, trustless transactions to agricultural trade.
Designed and built a Successive Ionic Layer Adsorption and Reaction (SILAR) instrument for the Physics department at St. Joseph's — hands-on electronic instrumentation and embedded control.
The tools I reach for — click a highlighted skill to see it in action in my projects.
Formal training and credentials.
Recognition along the way.
AI-powered mobile app for real-time public transport tracking with personalised availability recommendations, promoting sustainable commuting. Built with IoT, image processing, and TensorFlow.
Winner under IT & Innovation, organised by the Youth Aid Foundation, Bangalore.
Open to conversations about data science, analytics engineering, and LLM-powered tooling. The fastest way to reach me is email or LinkedIn.