- Data Scientist and AI Engineer with 3+ years building end-to-end ML pipelines at Bosch and Microsoft
- MSc Artificial Intelligence @ BTU Cottbus-Senftenberg — Thesis: ML surrogate models for combustion simulation (XGBoost, R²>0.97)
- Reduced manual ticket triage by 50% via NLP classification pipeline at Bosch
- Deployed Generative AI (Azure OpenAI) internal Q&A tool, cutting query resolution time by 40%
- Skilled in: Python · Scikit-Learn · TensorFlow · MLflow · Azure Databricks · Power BI · SQL · Docker · LangChain · RAG
ML/AI: Python · Scikit-Learn · TensorFlow · Keras · NumPy · Pandas · XGBoost · Transfer Learning · Deep Learning · NLP · Computer Vision · Generative AI · LangChain · RAG · MLflow · Model Deployment · Feature Engineering
Data & BI: SQL · Azure Databricks · Apache Spark · Power BI · KNIME · ETL · Azure Data Factory · Azure Synapse
Cloud/DevOps: Microsoft Azure · Docker · Git · CI/CD · Azure ML
| Project | Description | Tech Stack |
|---|---|---|
| Credit Card Dashboard | End-to-end fraud detection: XGBoost classifier (96.4% accuracy, AUC 0.94) + Power BI dashboard | Python, XGBoost, Flask, Docker, Power BI |
| Multiclass Image Classification | Multiclass image classification using Binary Tree algorithm | Python, Jupyter Notebook |
| Voice Bot with OpenAI & Docker | AI-powered voice bot using OpenAI API containerized with Docker | Python, OpenAI API, Docker |
| NVH Predictability - Power BI | Noise, Vibration & Harshness predictability analytics dashboard | Power BI |
| Complaint Bot | Automated complaint classification and routing bot | Python |
- Microsoft Certified: Azure Data Scientist Associate (DP-100)
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Google Analytics Individual Qualification (GAIQ)
- KNIME Analytics Platform (Advanced)
- LinkedIn: linkedin.com/in/arijeetghosal
- Email: arijeetghosal5@gmail.com
- Location: Reutlingen, Germany