Skills

Tools and Methods I Use Most

I combine analytics engineering, statistical thinking, and business communication to move projects from idea to measurable outcomes.

Python (Pandas, NumPy, scikit-learn) SQL (Postgres, BigQuery) Experimentation and A/B testing Feature engineering Model evaluation and MLOps basics Data visualization (Power BI, Tableau, Looker) Business analytics and stakeholder storytelling ETL and data quality
Core Strengths
Data Analysis and Modeling
Feature engineering, model evaluation, and experiment design for practical business use-cases.
Data Storytelling
Turning technical outputs into clear recommendations for partners and decision-makers.
Workflow
Build
Define the question, build clean datasets, and implement reliable analysis pipelines.
Validate and Iterate
Track impact, document findings, and refine recommendations based on measurable outcomes.