CV
Education, research experience, technical skills, and selected projects.
Sabuj C. Bhowmick
Data Scientist | Machine Learning Researcher | Computational Biology
Profile
MSc Data Analytics student at the University of Turku with an interdisciplinary background in statistics, mathematical sciences, public health, IoT engineering, machine learning, and computational research. Focused on reproducible and interpretable data science, rigorous model validation, bioinformatics, multi-omics integration, and research-oriented software development.
Experience
Project Researcher
University of Turku - Department of Computing
Conducting data analytics for the NoveLyme project, supporting computational research on Lyme disease-related data within the Department of Computing.
- Prepare, analyze, and interpret project data in support of NoveLyme research objectives.
- Develop transparent analytical outputs and communicate findings within the project research team.
Research Assistant
University of Turku - Department of Computing
Contributed to the development and validation of Joint-RPCA workflows for microbiome multi-omics data in the R/Bioconductor mia ecosystem.
- Prepared aligned metagenomic and metatranscriptomic inputs, shared-sample sets, deterministic train/test splits, and reproducible filtering workflows.
- Compared R/Bioconductor mia and Python/Gemelli outputs across sample scores, feature loadings, explained variation, cross-validation results, and distance structure.
- Improved research software through metadata-access refactoring, runtime messaging, tests, documentation, and reproducible Quarto reports with software provenance.
- Collaborated through GitHub with international professor-led research teams.
Project Worker - 5G to Boost Digitization
Savonia University of Applied Sciences
Developed applied data-analysis and forecasting workflows within a 5G- and IoT-oriented digitalization project.
- Built solar-energy production analysis and forecasting workflows.
- Compared statistical and machine learning models, including ARIMA, random forest, SVR, and XGBoost.
- Integrated weather data and prepared reproducible technical reporting.
Intern - Starlink Feasibility Testing
Voimatel Oy / Savonia University of Applied Sciences
Evaluated satellite connectivity for remote operational scenarios and compared it with mobile-network alternatives.
- Measured latency, bandwidth, signal reliability, and field performance.
- Documented equipment setup, test conditions, results, and practical limitations.
Senior Reviewer - Interdisciplinary Cardiac Arrest Review
University of Florida-associated research collaboration
- Contributed to structured evidence assessment and interdisciplinary scientific review.
- Applied methodological scrutiny to research interpretation and reporting.
Education
MSc · Information and Communication Technology - Data Analytics
University of Turku
- Graduate studies in machine learning, data analytics, statistical modeling, and data-intensive systems.
- Focus on reproducible analysis, model validation, and research-oriented computing.
BEng · Internet of Things
Savonia University of Applied Sciences
- Engineering studies in connected systems, data acquisition, software development, and applied analytics.
MSc · Mathematical Sciences
Norwegian University of Science and Technology
- Graduate training in mathematical reasoning, quantitative modeling, and scientific problem solving.
MPhil · International Community Health
University of Oslo
- Research training in public health, epidemiological reasoning, and quantitative health research.
MPS · Population Sciences
University of Dhaka
MSc · Statistics
University of Dhaka
- Advanced training in probability, statistical inference, regression, and applied data analysis.
BSc · Statistics
University of Dhaka
Skills
Programming and research software
Python, R, SQL, Bash, Git, GitHub, Quarto, R Markdown, LaTeX
Machine learning
scikit-learn, PyTorch, XGBoost, random forest, SVM, regression, classification, cross-validation
Statistics
applied statistics, statistical inference, time-series analysis, biostatistics, model evaluation
Bioinformatics
Bioconductor, microbiome analysis, compositional data, multi-omics integration, Joint-RPCA
Engineering practices
reproducible pipelines, automated testing, data validation, version control, technical documentation
Selected Projects
Joint-RPCA for Multi-omics Integration
Cross-language validation of R/Bioconductor and Python/Gemelli workflows for microbiome multi-omics data.
- Developed and tested consistent input filtering for multi-assay biological count data.
- Compared sample scores, feature loadings, explained variation, and cross-validation outputs.
- Produced reproducible Quarto workflows with fixed configurations and interoperable outputs.
Solar Energy Forecasting
Comparative forecasting with statistical and machine learning models.
- Integrated photovoltaic production and weather data.
- Compared ARIMA/ETS, random forest, SVR, and XGBoost using chronological validation.
Protein–Drug Affinity Prediction
Group-aware validation study for affinity prediction.
- Compared leave-one-observation, leave-one-protein, and leave-one-drug validation.
- Identified a substantial loss of generalization for previously unseen proteins.
Languages
Interests
Research interests
computational biology, bioinformatics, applied AI, biostatistics, scientific computing, reproducibility