Open to opportunities

Poorav Jadav

@pooravjadav

Data Scientist focused on building end-to-end ML products and interactive analytics to drive engineering and business decisions.

India

Message

What I'm looking for

I’m looking for Data Scientist roles where I can build end-to-end ML/data products, deploy pipelines, and create clear, production-ready analytics through cross-functional collaboration and data storytelling.

I’m an MSc Data Science candidate at King’s College London and a Data Science professional with 2.5 years of experience at Mercedes-Benz R&D. I build, own, and deploy end-to-end data products that turn complex problems into production-ready machine learning and interactive visualizations.

At Mercedes-Benz, I delivered an AI-powered Vehicle Regulatory Tool that improved tracking accuracy by ~30% and operational efficiency by ~40%, and I engineered time-series data pipelines to reduce data-to-decision cycles from 5 days to 3 hours. I’m currently seeking Data Scientist opportunities where I can apply structured problem-solving, lead cross-functional collaboration, and create high-impact analytics and ML systems.

Experience

Work history, roles, and key accomplishments

Certifications Lead

Mercedes-Benz Research & Development

Feb 2025 - Aug 2025 (6 months)

Developed and owned an AI-powered Vehicle Regulatory Tool in Microsoft Power Apps to automate compliance analysis, regulatory update tracking, and RAG-based semantic document retrieval. Improved tracking accuracy by ~30%, boosted operational efficiency by ~40%, and reduced rework/costs by ~20% through a structured certification data model.

Workflow Automation Certification Data Modeling Stakeholder Management Compliance Analytics

Graduate Engineer Trainee - Data Science

Mercedes-Benz Research & Development

Aug 2023 - Jan 2025 (1 year 5 months)

Engineered end-to-end PySpark/Databricks time-series data pipelines for vehicle telemetry at 10Hz, reducing data-to-decision cycles from 5 days to 3 hours for Data-as-a-Service scale. Built 4+ Tableau dashboards from modeled Delta tables, improved diagnostic time by ~20% via anomaly detection, and developed a human-in-the-loop predictive maintenance PoC combining multi-angle computer vision (PyTor

Pyspark Databricks Delta Lake Tableau Anomaly Detection Predictive Maintenance Human In The Loop PyTorch

Data Analytics Intern

Mercedes-Benz Research & Development

Jan 2023 - Jul 2023 (6 months)

Engineered an LSTM model to analyze time-series sensor data and predict anomalies. Conducted hydrogen engine market feasibility analysis in India using infrastructure, technical, and environmental data to inform future powertrain strategies.

predictive modeling Data Analysis feasibility studies Market Research Machine Learning