Research Portfolio · Data Science · Statistical Learning · Medical Imaging · Kolkata, India
Technical Skills

Skills &
Competencies

A comprehensive view of technical capabilities spanning programming, machine learning, statistical modelling, medical imaging, and data engineering — built through academic rigour and applied research.

🐍
Programming
Core
Primary Languages
Python R SQL C
Python Ecosystem
NumPy Pandas Scikit-learn Matplotlib Seaborn FastAPI
R Ecosystem
ggplot2 tidyverse caret survival
🤖
Machine Learning
Advanced
Ensemble Methods
LightGBM XGBoost Random Forest Gradient Boosting
Deep Learning
TensorFlow ConvLSTM Transformer CNN LSTM
Evaluation & XAI
SHAP Grad-CAM AUC-ROC Cross-Validation SMOTE
📊
Statistical Modelling
Expert
Inference & Modelling
Statistical Inference GLMs Mixed-Effects Models Regression
Bayesian & Advanced
Bayesian MCMC Survival Analysis Meta-Analysis High-Dimensional
Regularization & Time Series
LASSO Ridge Elastic Net SARIMA Prophet
🧠
Medical Imaging
Research
Radiomics Toolchain
PyRadiomics SimpleITK NiBabel nnU-Net
Formats & Standards
DICOM NIfTI BIDS MRI Preprocessing
Methods
PK Modelling DCE-MRI Analysis Habitat Imaging Segmentation
🗄️
Data Engineering
Applied
Big Data
Hadoop HDFS MapReduce SQL MongoDB
MLOps & Deployment
Docker FastAPI REST APIs Git Linux
Cloud
AWS EC2 Google Cloud
📈
Visualization
Proficient
Python
Matplotlib Seaborn Plotly
R
ggplot2 lattice corrplot
Research Output
Publication Figures Heatmaps Kaplan-Meier Curves

Proficiency Detail

Skill Context Proficiency
Python
Primary language for ML, data processing, API development
Chegg · TCG CREST · Personal Projects
Expert
R
Statistical computing, ggplot2 visualization, survival analysis
B.Sc. Statistics · Chegg · Research
Expert
LightGBM / XGBoost
Gradient boosted trees for classification and regression
Glioblastoma ML · Hackathons
Advanced
Bayesian MCMC
Posterior inference, hierarchical models, uncertainty quantification
M.Sc. Data Science · Research
Advanced
PyRadiomics / SimpleITK
Radiomic feature extraction, MRI preprocessing pipelines
TCG CREST Research
Advanced
Survival Analysis
Kaplan-Meier, Cox regression, time-to-event modelling
PharmaQuant · Chegg · Coursework
Advanced
SQL / Hadoop
ETL pipelines, distributed data processing, HDFS
NIELIT Data Science Internship
Proficient
Docker / FastAPI
ML model packaging, REST API development, reproducible pipelines
MLOps · Personal Projects
Proficient

Soft Skills & Research Qualities

🔍
Scientific Curiosity
Driven by genuine interest in understanding mechanisms — not just fitting models. Asks why before asking how.
💡
Hypothesis-Driven Thinking
Approaches problems by forming falsifiable hypotheses, designing experiments, and iterating based on evidence.
🧩
Novel Problem Identification
Identifies research gaps and frames novel questions — from aesthetic representation stability to heatwave forecasting.
🔄
Iterative Experimentation
Comfortable with failure as a feedback mechanism. Rapid iteration cycles with careful version control and documentation.
🤝
Collaborative Research
Effective in multi-disciplinary teams — bridging statistics, computer science, and domain expertise in clinical settings.
📝
Analytical Communication
700+ solutions at Chegg demonstrate ability to explain complex statistical concepts with clarity and precision.