Experiences

Working Student – Data Science

Bremer Institut für Produktion und Logistik GmbH • Feb 2023 – Ongoing • Bremen, Germany

  • Handled missing values, outliers, and transformations.
  • Built dashboards using Power BI and Tableau.
  • Identified pairwise and overall data correlations.
  • Applied ML/DL using scikit-learn, TensorFlow, PyTorch.

Data Science Internship

Max Delbrück Center for Molecular Medicine • May 2022 – Aug 2022 • Berlin, Germany

  • Cleaned and transformed data using Python scripts.
  • Performed EDA with NumPy, Pandas, Seaborn.
  • Applied classification and clustering via scikit-learn.
  • Conducted statistical analysis using probability concepts.
  • Developed an OCR system to extract data from medical report images and PDFs.
  • Utilized OpenCV for image processing and PyPDF2 for PDF handling.

Working Student – Data Analyst

Durstexpress GmbH • Aug 2019 – Dec 2020 • Berlin, Germany

  • Created visualizations using Tableau, Matplotlib, and Seaborn.
  • Assisted in A/B testing for market analysis.
  • Preprocessed data for further analysis by scientists.

Junior Data Scientist

InseightIn Technology Bangladesh • Jul 2018 – Mar 2019 • Dhaka, Bangladesh

  • Collaborated with data-driven teams on automation projects.
  • Contributed to ML, visualization, and performance analysis.
  • Collected data using web crawlers from various sources.

Research Assistant – Statistics

Jahangirnagar University • Oct 2016 – Jun 2018 • Dhaka, Bangladesh

  • Research assistant for four pulmonary tuberculosis projects in rural Bangladesh.
  • Led data collection, preprocessing, and statistical analysis using various models.
  • Deployed statistical and machine learning models for the analysis.
  • Contributed to manuscript writing and presenting research findings.

Publications

[1] Patwary, F.A., Zitnikov, A., Heurmann, A., & Noman, A.A. (2024). Explaining Manufacturing Anomalies: Transformer-Based Detection with xAI for Imbalanced Process Data. Manuscript accepted for publication at IFAC MIM2025.

[2] Patwary, F.A., & Noman, A.A. (2024). Learning ETA Prediction for Vessels in Inland Natural Waterways: A Data-Driven Modeling for Multi-Attribute Data. Manuscript planned for submission to Flexible Services and Manufacturing Journal (Springer).

Projects

AI-Powered Website Chatbot: Building with Cutting-Edge LLMs

Skills: Large Language Models (LLaMA2, GPT), Hugging Face Transformers, LangChain, OpenAI API, RAG, Python

BengaliBPE: An Open-Source Python Library for Bengali Language Processing with Byte Pair Embedding (Ongoing)

Skills: Byte-Pair encoding, Tokenization, BengaliBERT, BNLTK, Python, Word embedding

Explaining Manufacturing Anomalies: Transformer-Based Detection with xAI for Imbalanced Data

Skills: Anomaly detection, Transformer, GenAI, Explainable AI, SHAP, LIME, PyTorch

Data-Driven Modeling for ETA Prediction of Vessels in Inland Natural Waterways

Skills: MLOps, LSTM, TensorFlow, BeautifulSoup, xAI, Model monitoring, Deep Learning, Regression

No-Stress Manufacturing: Neuro-Physiological Biometric Data Analysis Using DL

Skills: Data ingestion, Data warehouse, Analytics engineering, Batch processing, Streaming, ML, DL

European Children Medical Allergy Cohort Analysis Using ML Models

Skills: Classification, OCR Development, Statistical Analysis, Hypothesis testing, Scikit-learn, Data Science

Metaphor Detection of Bengali Language Using Large Language Model (Ongoing)

Skills: LLM classification & vector spaces, Byte-Pair Encoding, Tokenization, Fine Tuning, Transformer, BengaliBERT

Mental Health Modeling of Bangladeshi University Students

Skills: Classification, ML, Data Collection, Data Preprocessing, xAI, SHAP, LIME

Predictive Modeling of COVID-19 Cases in Germany Using Time Series Techniques

Skills: Regression, ML, COVID-19 trend analysis, Time-series forecasting, Facebook Prophet, ARIMA, LSTM