I'm Utsa, a physicist turned data analyst and developer who fuses scientific rigor with creative problem‑solving. I build clean, reliable data tools, automation workflows, and technical solutions that make work simpler, faster, and more consistent.
I work with Python, analytics, and workflow automation to build tools and systems that are clear, reliable, and easy to maintain. My background in physics trained me to break down complex problems, think in systems, and care about precision — skills I now apply to data analysis, scripting, and process design.
I hold a BS in Physics from the University of Calgary, along with a Python Development Certificate from Mimo. I focus on writing clean, modular code and creating solutions that reduce manual work and deliver consistent results.
I build practical, modular projects with a focus on automation, data manipulation, and real‑world problem solving. Each system is designed to remove complexity, reduce manual work, and deliver consistent results.
Automation · Finance · AI
Autonomous weekly briefing that tracks 25 top investors — Buffett, Burry, Dalio, Druckenmiller and more — across SEC filings, crypto treasuries, and live news. Summarized by AI and delivered every Monday.
View LiveFlutter · Dart · iOS · Android · macOS · Windows
Cross-platform timer app with automatic phase transitions, alarms, and daily streak tracking. Distributed via AltStore (iOS sideload) and Google Play.
GitHub →Python · LLMs · Web Scraping · Automation
End-to-end pipeline that scrapes job boards, tailors resumes using LLMs, tracks applications, and manages outreach — reducing manual effort across the job search process.
GitHub →n8n · APIs · AI · Workflow Automation
Exported n8n workflow definitions for AI-powered Discord bots, Slack message summarization, and other automation pipelines using generative AI and API integrations.
GitHub →SQL · Data Analytics · Database Design
Analytical queries demonstrating advanced SQL techniques — window functions, CTEs, joins, and aggregations — with schema visualization included.
GitHub →Python · Machine Learning · pandas · scikit-learn
Explores a credit card transaction dataset and builds a classification pipeline for fraud detection, covering data analysis, feature engineering, and model evaluation.
GitHub →