Senior Data Analyst specializing in transforming complex datasets into clear, actionable insights that drive business outcomes.
Tools and technologies I use day-to-day
Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
PostgreSQL, MySQL, BigQuery, complex query optimization
Tableau, Power BI, Looker, Plotly Dash
AWS, GCP, Snowflake, dbt, Apache Spark
Predictive modeling, clustering, regression, A/B testing
Hypothesis testing, forecasting, cohort analysis
A selection of analyses and dashboards I've built
Multi-touch attribution pipeline analyzing $50M in annual transactions across 12 acquisition channels.
Gradient-boosted classifier with 89% precision, enabling proactive retention campaigns for 200K+ users.
Identified $2.3M in cost savings through demand forecasting and inventory rebalancing analysis.
A little background
I'm a Senior Data Analyst with a passion for finding the story hidden in the numbers. I thrive at the intersection of business strategy and technical execution.
Whether it's building end-to-end data pipelines, designing self-serve dashboards, or running rigorous A/B tests, I focus on delivering clarity — not just charts.
Outside of work, I enjoy contributing to open-source analytics tools and exploring new ways to make data more accessible.
Open to freelance projects, full-time roles, and collaborations on interesting data problems.