Technical Competencies

Skills &
Expertise

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

🐍
Core
Programming
Primary Languages
PythonRSQLC
Python Ecosystem
NumPyPandasScikit-learnMatplotlibSeabornFastAPI
R Ecosystem
ggplot2tidyversecaretsurvival
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Advanced
Machine Learning
Ensemble Methods
LightGBMXGBoostRandom ForestGradient Boosting
Deep Learning
TensorFlowConvLSTMTransformerCNNLSTM
Evaluation & XAI
SHAPGrad-CAMAUC-ROCCross-ValidationSMOTE
📊
Expert
Statistical Modelling
Inference & Modelling
Statistical InferenceGLMMixed ModelsTime Series
Bayesian Methods
Bayesian MCMCPyMCPrior ElicitationPosterior Analysis
Survival & Multivariate
Survival AnalysisCox PHPCAFactor Analysis
🧠
Specialized
Medical Imaging
Imaging Pipeline
SimpleITKnnU-NetPyRadiomicsDICOMNIfTI
PK Modelling
Tofts ModelETMSSM2CXMK-trans
Feature Extraction
RadiomicsHabitat ImagingLASSO Selection
🗄️
Proficient
Data Engineering
Databases
PostgreSQLMongoDBMySQL
Big Data
HadoopHDFSMapReduceETL Pipelines
Tools
GitDockerJupyterLinux
🌍
Applied
Climate & Geospatial
Data Sources
ERA5ECMWF CDSNetCDF
Spatiotemporal
ConvLSTMTransformerPhysics-Guided ML
Interpretability
SHAPGrad-CAMAtmospheric Modelling

Key Tool Proficiency

Tool / Framework Context Proficiency Level
Python
Primary research and analysis language
 All projects
Expert
 Expert
R (Statistical Computing)
Bayesian inference, survival analysis, GLMs
 Statistics, Research
Advanced
 Advanced
LightGBM
Primary classifier for radiomics pipeline (AUC 0.89)
 Medical Imaging
Advanced
 Advanced
PyRadiomics
150+ feature extraction from multimodal MRI
 TCG CREST Internship
Advanced
 Advanced
SHAP
Explainability for radiomics and climate models
 XAI · Interpretability
Advanced
 Advanced
SimpleITK + nnU-Net
MRI preprocessing, bias correction, segmentation
 Medical Imaging
Proficient
 Proficient
SQL + Hadoop + MongoDB
ETL pipeline and distributed data engineering
 NIELIT Internship
Proficient
 Proficient

Soft Skills & Research Attributes

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Research Rigour
Principled validation, reproducible workflows, and careful uncertainty quantification in every analytical pipeline.
📝
Scientific Writing
Contributing to 4 manuscripts — structuring complex technical ideas into clear, publishable academic prose.
🎯
Problem Decomposition
Breaking high-dimensional clinical and atmospheric problems into tractable statistical sub-problems.
🤝
Cross-disciplinary Collaboration
Bridging statistics, computer science, oncology, and climate science in collaborative research environments.
🏆
Competitive Problem-Solving
Consistent performance in high-stakes ML hackathons: #43 nationally, 2nd runner-up in pharma analytics.
🎓
Pedagogy & Mentoring
Delivered 700+ expert statistical explanations with 98%+ satisfaction — teaching complex ideas with clarity.