Data Scientist • MSc Data Science Student @ TU Dortmund

I work at the intersection of statistics and machine learning — building data pipelines, anomaly detection systems, and forecasting models grounded in rigorous analysis.

• 🎓 Pursuing MSc in Data Science at Technische Universität Dortmund, Germany
• 📊 Former Data Scientist at Insightin Technology — built ETL pipelines processing 1.5M+ member records on Azure
• 📰 IEEE-published researcher — presented at IJCNN 2024 on anomaly detection evaluation under class imbalance
• 🌱 Currently deepening expertise in statistical modelling, ML evaluation methodologies, and cloud-based data workflows
• 📍 Based in Bochum, Germany

Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances M. S. Hossain, M. S. Hossain, S. Klüttermann, and E. Müller IJCNN 2024, IEEE — DOI: 10.1109/IJCNN60899.2024.10650351

• 🔁 ETL pipelines & data quality — end-to-end ingestion workflows with validation, cleaning, and error handling across SQL and cloud storage
• 📊 Data analysis — exploratory and statistical analysis in R and Python, from raw data to actionable findings
• 📈 ML models — time-series forecasting and anomaly detection experiments with documented evaluation metrics
• 🖥️ Dashboard building — interactive Power BI reports tracking KPIs, user activity, and data trends
• 📁 Reproducible projects — clean repo structure, version-controlled notebooks, and methodology documentation throughout

• Email: [email protected]
• LinkedIn: Mohammad Sahadat Hossain

Statistics first. Models second. Results always.