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My Professional Story

My journey into data began with a degree in Physics, where I learned to break down complex systems into their fundamental components. I now apply that first-principles approach to my work as a data analyst, where I specialize in building robust solutions from the ground up, from predictive models to automated data pipelines.

I am driven by the challenge of not just analyzing data, but using it to tell a compelling story that influences product strategy and drives measurable growth. My goal is to join a forward-thinking team where I can help solve the most impactful problems at the intersection of data, product, and business.

My Journey: From Physics to Data & Product

My professional path began at the University of North Carolina at Chapel Hill, where I pursued a degree in Physics with a concentration in Quantitative Finance. This interdisciplinary foundation gave me a unique lens for problem-solving, teaching me to break down complex systems and approach every challenge with analytical rigor.

I took my first step into the professional world at Pennymac, joining as a Product Analyst in the fast-paced mortgage technology sector. There, I had the opportunity to apply my quantitative skills to real-world business problems, quickly learning to navigate large datasets and deliver insights to my team.

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A Headshot

My role soon evolved beyond simple analysis as I began to take ownership of our data infrastructure and strategy. I architected automated data pipelines, built predictive models from scratch, and became the go-to partner for translating complex data into clear recommendations for product and engineering leaders.

This journey, from understanding theoretical physics to building practical data solutions, has solidified my passion for using technology to solve meaningful problems. I am now seeking a role where I can fully apply my unique blend of technical building and strategic analysis to help an innovative company drive its product and growth forward.

My Skills & Expertise

Analytical & Data Science iconAnalytical & Data Science

Analytical & Data Science iconPredictive Modeling(Click for Details)
Architecting and implementing machine learning models (classification, regression) to forecast outcomes and analyze system behavior.
Analytical & Data Science iconData Modeling & Warehousing(Click for Details)
Designing and managing scalable data models and pipelines within modern data warehouse environments like Snowflake.
Analytical & Data Science iconStatistical Analysis(Click for Details)
Applying statistical methods and hypothesis testing to validate insights and measure the impact of changes.
Analytical & Data Science iconA/B Testing & Experimentation(Click for Details)
Designing, executing, and analyzing experiments to optimize products, processes, and user experiences.
Analytical & Data Science iconKPI Definition & Reporting(Click for Details)
Defining key performance indicators and building dashboards to monitor business health and track strategic goals.
Analytical & Data Science iconData-Driven Storytelling(Click for Details)
Translating complex quantitative findings into clear, compelling narratives and actionable recommendations for leadership.
Analytical & Data Science iconRoot Cause Analysis(Click for Details)
Investigating data discrepancies and operational bottlenecks to diagnose issues and recommend solutions.

Technical & Software iconTechnical & Software

Technical & Software iconPython(Click for Details)
Pandas, NumPy, Scikit-learn, SciPy
Technical & Software iconSQL(Click for Details)
Advanced: CTEs, Window Functions
Technical & Software iconJavaScript(Click for Details)
Applying JavaScript to understand and interact with front-end systems and web APIs
Technical & Software iconData Warehousing(Click for Details)
Snowflake
Technical & Software iconBusiness Intelligence & Visualization(Click for Details)
Tableau
Technical & Software iconData Engineering & Automation(Click for Details)
ETL Processes, CI/CD Pipelines, API Integration
Technical & Software iconProject Management & Workflow(Click for Details)
Jira, Agile Methodologies, Scrum Framework
Technical & Software iconCloud Environments(Click for Details)
AWS

Professional & Business iconProfessional & Business

Professional & Business iconStakeholder Management(Click for Details)
Partnering with and influencing cross-functional teams, including Product, Engineering, Sales, and Operations.
Professional & Business iconProject Ownership(Click for Details)
Owning the end-to-end delivery of data science and analytics workstreams, from initial scoping to final recommendations.
Professional & Business iconCross-Functional Collaboration(Click for Details)
Acting as the technical bridge between business requirements and engineering execution.
Professional & Business iconTechnical Documentation(Click for Details)
Creating clear documentation for data sources, metrics definitions, and analysis methodologies.
Professional & Business iconProblem-Solving(Click for Details)
Applying a first-principles, investigative approach to solve ambiguous and complex business problems.
Professional & Business iconClient & Customer Engagement(Click for Details)
Understanding user needs, translating them into technical requirements, and communicating insights effectively.
See My Projects In Action