Building data-driven solutions
Problem-Solving • Analytics • Data Science • Business Intelligence
I solve problems using Agile methodologies and first-principles thinking. Building data-driven solutions with a collaborative, iterative approach.
I'm driven by solving real problems with data. I thrive in collaborative environments where I can learn from smart people, and I'm always eager to pick up new tools and approaches. I adopt Agile methodologies and think in first principles—breaking complex problems into fundamentals to find elegant, scalable solutions. I believe great work comes from curiosity, persistence, and clear communication—qualities I bring to every project.
Business intelligence tool that harnesses prediction markets to capture and analyze people's probabilistic opinions on real-world future events.
Tech: Python, Streamlit, SQLite, Async Pipelines
Results: Curated market recommendations with confidence indicators, liquidity depth, and cross-platform comparison for strategic decision-making
View on GitHub →Deep EDA into 20K+ Zara products identifying key sales drivers: promotions (+62% lift), seasonality flags (+14.5%), and pricing strategy. Provided data-driven recommendations for inventory and merchandising.
Tech: Python, Pandas, Matplotlib, Jupyter
Results: Quantified promotion ROI, mapped winning segments, exposed inefficiencies in position strategy
View on GitHub →Third project details coming soon.
Status: In Development
Updates: Check back soon
Coming Soon →Ask me anything about my experience, skills, or approach