Skills
Core computational frameworks, statistical methodologies, and technical stack applied across research and software development.
Programming Language
Core statistical programming, data querying, and computing languages.
Python R SQL STATA C++
Machine Learning
End-to-end exploratory data analysis, feature engineering, and model deployment.
EDA Feature Engineering Model Training and Evaluation Model Deployment
NLP
Natural language processing pipelines, linguistic representations, and transformers.
Text preprocessing Embedding Transformer Hugging Face
GenAI
Generative artificial intelligence, retrieval-augmented generation, and LLM applications.
LLM Vector Database RAG Google API Ollama
Statistics
Theoretical probability, multivariate inference, econometric time series, and biostatistics.
Probability Theory Multivariate Analysis Hypothesis Testing Estimation Time Series Analysis Survival Analysis Epidemiology
Tools
Development environments, version control, containerization, and cloud platforms.
Git Linux/Bash Jupyter SPSS VScode Docker AWS
Web Framework
Rapid data prototyping, RESTful backends, and machine learning application frameworks.
Streamlit Flask FastAPI