I turn raw data into actionable insights, optimizing business workflows, improving healthcare outcomes, predicting crop yields, or uncovering hidden patterns in customer behavior.
Domains I Work In:
- Healthcare: EHR analytics, clinical NLP, precision medicine
- Agriculture: Predictive modeling for crop/soil health, satellite imagery analysis
- Business Analytics: Customer segmentation, churn prediction, revenue optimization
- Martech (Marketing Technology): Attribution modeling, campaign analytics, CDP integration
- General Data Science: From exploratory analysis to ML pipelines
Data Wrangling & Analysis
- Python (Pandas, NumPy), R, SQL, Spark
- Cleaning messy data (because real-world data is never tidy!)
Machine Learning & AI
- Supervised/unsupervised learning, time-series forecasting
- NLP: Traditional methods → LLMs (fine-tuning, RAG pipelines)
- Frameworks: PyTorch, TensorFlow, Scikit-learn, MLflow
Marketing Technology (Martech)
- Tracking & Analytics: Google Analytics 4 (GA4), Meta Pixel, SDKs (iOS/Android)
- Tag Management: Google Tag Manager (GTM), server-side tagging
- CDP/ETL: Segment, Snowflake, BigQuery
- Attribution: Multi-touch modeling (MMM, MTA), Lift studies
Visualization & Storytelling
- Tableau, Power BI, Looker Studio, Matplotlib/Seaborn