Skills & Proficiency

Tools of the trade

A breakdown of my technical proficiency across data science, machine learning, LLM development, healthcare AI, fintech risk, and the tools that power it all.

Expert90–100%

Advanced80–89%

Proficient70–79%

Data Science

Statistical modeling, experimentation, and analytics across healthcare and fintech.

Statistical Modeling97%

Hypothesis Testing95%

Experimentation & A/B Testing96%

Product Analytics95%

Cohort Analysis94%

Causal Inference88%

Forecasting85%

Segmentation90%

Machine Learning

Classification, regression, NLP, and model evaluation at production scale.

Python97%

Classification & Regression95%

XGBoost / Gradient Boosting92%

Feature Engineering93%

NLP & Text Mining90%

Embeddings88%

Model Evaluation94%

Model Monitoring87%

LLM & Chatbot Dev

RAG systems, prompt engineering, LLM evaluation, and hallucination detection.

RAG Systems92%

Prompt Engineering90%

LLM Evaluation91%

Hallucination Detection88%

Semantic Search87%

Chatbot Workflows89%

Human-in-the-Loop Review85%

Guardrails83%

Healthcare AI

Real-world evidence, oncology analytics, pathology AI, and clinical NLP.

Real-World Evidence92%

Clinical Data Analytics90%

Oncology Analytics88%

Pathology AI87%

Biomedical Data Science85%

Clinical NLP83%

Fintech & Risk

Fraud detection, risk modeling, and customer lifecycle analytics.

Risk Analytics & Fraud Detection90%

Customer Lifecycle Analytics88%

Underwriting Models82%

Payment Analytics80%

Banking Product Analytics85%

Tools & Stack

SQL, Python ecosystem, cloud data platforms, and visualization tools.

SQL97%

pandas / PySpark92%

Snowflake / Databricks90%

LangChain / LlamaIndex88%

Looker / Tableau88%

dbt / Airflow85%

scikit-learn / PyTorch87%

R82%