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  • Technische Universität Hamburg
  • Hamburg, Germany
  • 03:58 (UTC +02:00)

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abdulhamid100/README.md

Md Abdul Hamid

M.Sc. student in Information and Communication Systems at Hamburg University of Technology (TUHH). I analyse operational data with SQL, Python and Power BI, and I check every number twice.

Looking for: a working student (Werkstudent) position in data analytics, BI or data management in Hamburg.

LinkedIn · md.hamid@tuhh.de

Projects

Project What it shows Tools
Where do Hamburg's train delays come from? 1.5M Deutsche Bahn stops. Long-distance delay is mostly imported: 84% on time for trains that start in Hamburg, 35% after 16+ earlier stops. SQL (CTEs, window functions), pandas
E-commerce delivery and customer reviews 96k orders. A late delivery costs about two stars (2.3 vs 4.3). Power BI, DAX, star schema, pandas

How I work

  • Data-quality checks first, with every cleaning decision written down.
  • Each result computed two ways (SQL and pandas, or DAX and pandas) and compared.
  • Findings in plain sentences, with the limitations next to them.

Background

  • Research Assistant, Institute of Embedded Systems, TUHH (10/2025 – present): real-time control software in C on STM32; data preparation in Python.
  • Data Analyst, Ahom Limited, UK (03/2023 – 01/2024): Power BI dashboards and automated KPI reporting with SQL and Python.
  • Two peer-reviewed papers on Bengali text classification (Springer A2IA 2023; Bulletin of Electrical Engineering and Informatics 12(4), 2023).

Skills: SQL · Python (pandas, NumPy, scikit-learn) · Power BI (DAX, data modelling) · Excel · Git · C

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  1. ecommerce-delivery-dashboard ecommerce-delivery-dashboard Public

    Power BI dashboard (star schema, DAX) on 96k e-commerce orders: how late deliveries hurt customer ratings.

    Python 1

  2. hamburg-train-delays hamburg-train-delays Public

    SQL + pandas analysis of 1.5M Deutsche Bahn train stops at Hamburg's main stations: where the delays come from.

    Jupyter Notebook 1