Souvik Chattopadhay
Quantitative Researcher
Kolkata
Summary
Quantitative Researcher with over 5 years of expertise in data analysis and machine learning, focusing on data preprocessing, feature extraction, and statistical modeling.
Overview
6
6
years of professional experience
3
3
Certifications
1
1
Language
Work History
Data Science Intern
Cuvette
10.2025 - 01.2026
- Wrote complex SQL queries involving JOINs, subqueries, window functions, and aggregations to extract, clean, and analyze structured datasets for downstream machine learning and visualization tasks.
- Performed data preprocessing and feature engineering, label encoding using pandas and scikit-learn.
- Identified and treated outliers using Cook’s Distance, zscore and Variance Inflation Factor (VIF); applied quartile-based capping techniques.
- Implemented regularization methods (Lasso and Ridge) to mitigate overfitting and improve model generalization.
- Built and evaluated classification models, including Logistic Regression and Decision Trees.
- Designed and presented interactive Tableau dashboards to communicate key analytical insights.
Research Intern
GSI-Darmstadt
02.2025 - 07.2025
- Developed a statistical analysis software (cbmroot) using Chi-Square test and Bayes theorem for automatic anomaly detection in histograms.
Consultant
WorldQuant Brain
08.2025 - 01.2025
- As a Consultant at WorldQuant Brain, developed 10+ alpha strategies that met all platform evaluation criteria, including Sharpe ratio, Calmar ratio, turnover, and maximum drawdown etc. Alpha ideas were sourced from academic finance literature and systematically implemented on the Brain platform.
- Implemented the Fama–French Five-Factor Asset Pricing Model on U.S. equity datasets, using features such as book value per share, outstanding shares, and time-series ranking operators. Additional alphas included implied-volatility spread signals based on the 120-day call–put volatility differential, as well as sentiment–volume divergence signals derived from social buzz versus trading volume trends.
Ph.D. Student | Senior Research Fellow
Variable Energy Cyclotron Centre
04.2021 - 01.2025
- Analyzed large-scale experimental datasets, performing pattern analysis, multicollinearity diagnostics, and influence analysis to assess variable relationships and data stability.
- Developed clustering algorithm on experimental particle-physics data involving particle position and momentum, using distance-based metrics. Implemented k-Nearest Neighbors (kNN) and Agglomerative Clustering, and extracted key cluster-level properties.
- Designed and trained machine learning classification models for particle identification using TensorFlow and PyTorch, with GPU (CUDA) acceleration.
- Conducted large-scale experimental data analysis using the ROOT framework for high-energy and nuclear physics experiments.
- Developed prototype detector for physics experiment in Germany.
Project JRF
Indian Statistical Institute
02.2020 - 11.2020
- Conducted multivariate analysis on India’s socio-economic conditions using census data.
- Applied statistical methods and machine learning techniques to identify patterns and trends.
- Contributed to three peer-reviewed research publications.
Education
M.Sc. - Physics
Jadavpur University
Kolkata08.2019
B.Sc. - Physics
Jadavpur University
Kolkata08.2017
Skills
SQL, Python, and C Programming languages Data manipulation and analysis
Version control systems: Git and GitLab
Machine learning libraries: TensorFlow, Keras, PyTorch Classification techniques: Sklearn, KNN, K-Means Cluster analysis methods: Agglomerative LLM transformer expertise: BERT
Data preprocessing with Pandas and NumPy Statistical analysis using SciPy Excel pivot table expertise
Data visualization tools: Matplotlib, Seaborn, Tableau Spreadsheet analysis: Excel (Pivot Chart)
Statistical analysis tools Multivariate analysis Hypothesis testing P-value and chi-square tests
AI tools: ChatGPT and Gemini
Operating systems: Linux and Windows Command line proficiency System administration
Certification
Google Data Analytics (Coursera)
Accomplishments
- AIR 201 (2020): JEST – TIFR
- AIR 619 (2020): GATE – Physics
- AIR 12 (2018): CSIR-NET (LS)
- INSPIRE Scholar (2014–2019): Govt. of India
Publications
- Multi-scale analysis of rural and urban areas: a case study of Indian districts – European Physical Journal B (2024)
- Strata-based quantification of distributional uncertainty in socio-economic indicators – Social Science Journal (2021)
- Chiral magnetic effect in lattice models of tilted multi-Weyl semimetals – arXiv (2014)
- Performance of a Real-Size, Low Resistivity Resistive Plate Chamber at GIF++ – JINST (2025)
Timeline
Data Science Intern
Cuvette
10.2025 - 01.2026
Consultant
WorldQuant Brain
08.2025 - 01.2025
Research Intern
GSI-Darmstadt
02.2025 - 07.2025
Ph.D. Student | Senior Research Fellow
Variable Energy Cyclotron Centre
04.2021 - 01.2025
Project JRF
Indian Statistical Institute
02.2020 - 11.2020
M.Sc. - Physics
Jadavpur University
B.Sc. - Physics
Jadavpur University