Full Curriculum Vitae
Skills
Programming
- R — 3+ years
- Python (numpy, pandas, scikit-learn, PyTorch, TensorFlow, plotly, matplotlib, seaborn) — 3+ years
- Julia, MATLAB, JavaScript, C#, SQL — < 2 years
Statistical & Data Science
- Statistical Modeling
- Mathematical Modeling
- Optimization (Linear/Non-Linear)
- Data Mining
- Machine Learning
- Deep Learning
- GPU Computing
- Data Visualization
Deployment
- R Shiny
- Docker
- Git & GitHub Pages
- REST APIs
Software
- SPSS
- LaTeX
Languages
- English (Fluent)
- Bengali (Native)
- Hindi (Fluent)
- Dutch (A1)
Education
PhD in Statistics
Maastricht University, Netherlands
Thesis Title: Planning with Confidence: Designing quantitative reliability studies using the Intraclass Correlation Coefficient
Supervisors: Dr. Sophie Vanbelle, Dr. Math J.J.M. Candel, Dr. Alberto Cassese
MSc in Statistical Science for the Life and Behavioral Sciences (Specialization: Data Science)
Leiden University, Netherlands
Thesis Title: Validation Of Prediction Rules For Counts Outcome In The Presence Of Missing Predictor Data Using Multiple Imputation And Cross-Validation
Thesis Supervisor: Dr. Bart Mertens
PhD in Biophysics (Discontinued)
Leiden University, Netherlands
Supervisors: Dr. Martina Huber, Dr. Herre van der Zant
BS–MS Dual Degree in Physics
Indian Institute of Science Education and Research Kolkata, India
Thesis Title: Nutation of Sidebands from MASS (Magic Angle Sample Spinning)
Thesis Supervisor: Dr. Rangeet Bhattacharyya
Research Experience
Multiple Imputation in prognostic calibration of count data
Leiden University, Netherlands
Extended multiple imputation strategy (available only for binary data) to accommodate count outcomes.
Combined different pooling strategies of multiple imputation and calibrated prediction accuracy via cross-validation.
HCQ cocktail against early COVID-19 infection
Leiden University, Netherlands
Developed a severity index for corona infections using patient comorbidity data and based on survival outcomes.
Uncovered the misuse of hydroxychloroquine administration in early COVID-19 cases.
Presented at Bernoulli IMS Symposium, 2020.
Industry Experience
Data Analyst & ML Engineer
Integrify, (Remote) Finland
Completed an industry-focused bootcamp in Data Analytics and Statistical Learning (Machine and Deep Learning) at the Integrify International Academy.
Led development of a chatbot for aiding domestic violence victims using NLP via CUDA (GPU training); deployed deep learning models in production.
Trainee Consultant
Prifina, (Remote) USA
Combined data acquisitions from frameworks (API and WebScraping) to collect user information.
Developed automation workflows (RPA scripts) enabling automatic collection of data, combining the data from sources, and providing exploratory analytics.
Publications
- Mondal, Dipro, Vanbelle, Sophie, Cassese, Alberto, & Candel, Math J. J. M. (2024). Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model . Statistical Methods in Medical Research, 33(3), 532–553.
- Mondal, Dipro, Candel, Math J. J. M., Cassese, Alberto, & Vanbelle, Sophie (2025). Confidence Intervals and Sample Size for the ICC in Two-Way ANOVA Models . Statistics in Medicine, 44(10–12), e70106.
- Zurlo, Enrico, Kumar, Pravin, Meisl, Georg, Dear, Alexander J., Mondal, Dipro, Claessens, Mireille M. A. E., Knowles, Tuomas P. J., & Huber, Martina (2021). In situ kinetic measurements of α-synuclein aggregation reveal large population of short-lived oligomers . PLOS ONE, 16(1), 1–12.
- Mondal, Dipro, Cassese, Alberto, Candel, Math J. J. M., & Vanbelle, Sophie (Under Review, 2025). Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two-way analysis of variance model. Submitted to British Journal of Mathematical and Statistical Psychology, Special Issue: Reliability Revisited: Advances in Reliability Measures for Psychological Research.
Presentations
How to determine sample size for the ICC in the two-way ANOVA model
Colloquium, Methodology and Statistics Department, Maastricht University, Maastricht, the Netherlands
How to determine sample size for the ICC in the one-way ANOVA model
10th European Congress of Methodology, Ghent, Belgium
Sample size determination methods for the ICC in the one-way ANOVA model
Colloquium, Methodology and Statistics Department, Maastricht University, Maastricht, the Netherlands
Posters
How many participants and re-tests do you need for a reliability study?
CAPHRI Research Day, Maastricht, the Netherlands
Reproducible Tools
Interactive R Shiny apps developed to accompany my research papers:
Achievements & Leadership
INSPIRE Fellowship
Ministry of Human Resource Development (MHRD), Government of India
National Creativity and Aptitude Test (NCAT)
Represented IISER Kolkata, secured All India Rank 19 in the final round
PhD Representative
Methodology and Statistics Department, Maastricht University
Social Profiles
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