About Me
Check out my resume here.
🌟 Professional Overview
I am Md Shahabub Alam, a passionate Data Scientist currently based in Berlin, Germany. My expertise lies in creating impactful solutions leveraging Data Science, Machine Learning, Natural Language Processing, and Data Engineering.
Currently pursuing my Master’s in Data Science at the University of Potsdam, my academic background has equipped me with advanced skills in statistical analysis, Bayesian inference, deep learning, and applied data science.
🚀 Professional Experiences
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Research Assistant, German Research Center for Artificial Intelligence (DFKI) (Jan 2025 – Present)
- Developing machine learning models focused on optimizing human-machine interaction through tactile communication systems.
- Building interactive dashboards and explainable AI solutions for informed decision-making.
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Student Assistant, Technische Universität Berlin (METIS Project) (Mar 2024 – Dec 2024)
- Engineered machine learning models for evaluating IT infrastructures, improving decision efficiency by 20%.
- Developed interactive dashboards and explanatory data-driven tools.
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Student Assistant, ESCP Business School (Apr 2024 – Mar 2025)
- Independently built an NLP-powered chatbot using Botpress, significantly reducing thesis-related query processing time by 35%.
- Implemented an adaptive learning mechanism for dynamic knowledge-base updates.
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Student Assistant, Universitätsklinikum Essen (IMIBE) (Jan 2023 – Jun 2023)
- Automated reference extraction from clinical guidelines with Python NLP, reducing manual effort by 15%.
- Created citation-validation tools to minimize inconsistencies in scientific research.
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Software Engineer & Programmer, Convince Computer Ltd. & Islam Garments Ltd. (Jul 2017 – Sep 2020)
- Developed ERP systems using ASP.NET and SQL for payroll and logistics, improving operational efficiency by 40%.
- Optimized ETL pipelines, reducing latency by 30%, and designed dynamic reporting modules using Crystal Reports.
🎓 Education
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M.Sc. in Data Science, University of Potsdam (Germany) (Oct 2023 – Present)
- Key Courses: Advanced Machine Learning, Bayesian Inference, Statistical Data Analysis, Data Infrastructure, Mathematical Foundations of Data Science, Data Science & Business Analytics, Optimization Methods.
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B.Sc. in Computer Science & Engineering, Ahsanullah University of Science & Technology (Bangladesh) (2013 – 2017)
- Bachelor Thesis: A Cluster based Hybrid Framework for Network Intrusion Detection
📜 Certifications & Workshops
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Machine Learning + AI Bootcamp, ReDI School of Digital Integration (Berlin) (Mar 2024 – Jun 2024)
- Intensive training covering supervised and unsupervised learning, deep learning, computer vision, NLP, and model deployment using TensorFlow and PyTorch.
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Data Circle Program, ReDI School of Digital Integration (Berlin) (Sep 2024 – Dec 2024)
- Collaborative data analytics and visualization projects, agile methodologies, and effective data storytelling.
🛠️ Technical Skills
- Programming & ML Frameworks: Python (scikit-learn, PyTorch, TensorFlow), R, C, SQL, Git, Bash, LaTeX
- Data Visualization & Analysis: Tableau, Power BI, Pandas, NumPy, Matplotlib, Seaborn, Plotly
- Data Engineering: Docker, Apache Spark, Google Cloud Platform (GCP), Hadoop, CI/CD pipelines
- Web & API Development: HTML, CSS, JavaScript, ReactJS, Flask, REST APIs, Streamlit
🔬 Research & Publications
I have actively contributed to research, focusing on applied machine learning and statistical modeling:
- Google Scholar Profile
- Publications in IEEE Xplore, Arxiv and peer-reviewed journals, covering topics like healthcare analytics, hotel booking prediction, face mask detection systems, automated Bangla image captioning, diabetes prediction and cybersecurity.
🌍 Languages
- English: Professional fluency
- German: Intermediate (B2.1 level), actively used in professional environments.
🤝 Let’s Connect!
I’m always eager to discuss collaborations or exciting projects in the fields of AI, ML, and Data Science. Feel free to connect!
Great to have you here!