Mechanical Engineer · MSc AI & Data Science @ Gisma Berlin
Machine learning, simulation and energy systems · Published researcher · Berlin

Interdisciplinary engineer bridging mechanical systems and AI. I turn complex engineering data into clear, actionable insights using data science, machine learning, and digital tools. I report results honestly: baselines, held-out tests, confidence ranges, and each model's limits.

• MSc AI, Data Science & Digital Business: Gisma University of Applied Sciences, Berlin (2025- 2027) with MSc International Business Management, Kingston University, London
• BE Mechanical Engineering: Savitribai Phule Pune University (2022- 2025)
• Interned at Thermax Ltd and Kirloskar Pneumatic
• Published and presented at the RDME-2025 national conference
• Based in Berlin, Germany
• English · Hindi · German (A2/B1, improving)

NASA C-MAPSS turbofan data. GRU and XGBoost with proper baselines, conformal prediction (calibrated margin of error), SHAP, MLflow tracking, a model card, and a 3D maintenance simulation where you decide when to pull engines. Live demo · Code

Indirect heat-loss model of a biomass boiler, validated against the design workbook (81.3% at the design point), with sensitivity ranking, Monte Carlo uncertainty, and a 3D simulator of the plant and its internal flow. Live demo · Code

Cost and volume of redispatch 2022€- 2026 with bootstrap trend tests (cost per MWh fell about 12 % a year; the volume change is not clear), a Power BI data package, and a grid-congestion simulation graded against the exact linear-programme optimum. Grid simulator · Code

1,161 speeches (2009€- 2021): topic modelling with LDA, BERTopic and GBERT, a spaCy entity pipeline, theme trends with session-bootstrap ranges, and an in-browser party model. Live demo · Code

Predictive maintenance (Random Forest, Streamlit)

Digital twin pump simulation

Weld defect detection (YOLOv8)

Languages & scripting

ML, NLP & data science

Visualisation, deployment & tooling

Engineering tools

• Microsoft Azure AI Essentials (Microsoft & LinkedIn)
• Advanced LLMs with Retrieval-Augmented Generation (RAG)
• SQL for Data Analytics
• Six Sigma Foundations
• MATLAB Onramp

"Engineering thinking + data intelligence = scalable solutions"

Open to collaborate. Feel free to reach out!