Irvine, California, United States
Data professional and UC Berkeley MIDS candidate (GPA 4.0) with 3+ years of experience turning complex data into business impact across financial services, insurance, and mission-driven organizations. I build end-to-end data solutions — from Python and SQL ETL pipelines that cut reporting cycles by 50%, to scalable ML and analytics systems powered by PySpark, Snowflake, dbt, and AWS. Recent work includes deploying a production-grade NLP inference API on Kubernetes and architecting a Medallion data platform with automated dbt quality testing. Passionate about pairing statistical rigor with engineering excellence. Actively exploring Data Analyst, Data Engineer, and ML Engineer roles for 2026.
• Built a large-scale dataset by scraping and structuring environmental policy data from 700+ school districts, enabling downstream statistical analysis and policy benchmarking. • Developed geospatial analysis pipelines in Python to identify regional disparities, uncovering 20%+ adoption gaps that informed targeted policy recommendations. • Conducted regression and correlation analyses to identify key drivers of policy adoption, supporting data-driven decision-making for program initiatives.
• Built and automated a Python-based reporting pipeline (Pandas, SQL via PyODBC), reducing monthly reporting turnaround time by 50% and improving data accessibility. • Analyzed sales and risk performance metrics to identify underperforming accounts, delivering recommendations that supported portfolio risk optimization. • Partnered with business stakeholders to translate analytical findings into actionable insights, improving reporting clarity and decision-making.
• Designed and deployed ETL pipelines (Python, SQL, VBA) to resolve upstream data quality issues, reducing manual reporting effort by 35% while improving data reliability. • Developed executive-facing dashboards and performance analyses for proprietary financial products, supporting C-suite strategic decision-making. • Consolidated multi-source datasets into standardized reporting frameworks, enabling scalable analytics across internal and external stakeholders.
•Assisted in gathering and manipulating data using SQL, performing calculations, and producing reports in Excel. •Maintained and updated tools for monthly rate auditing for Australian and North American businesses. Provided internal supports for compliance departments on experience reports, DOI data and rate requests. •Assisted with rate filing analysis for several states, modified selected factors, conducted trend analysis and came up with appropriate pricing techniques and reasonable rates. •Successfully updated Rider Pricing factor, and recommended new pricing techniques based on the findings. •Conducted hospital investigation in State of New York, proposed a list of preferred and risky hospitals and making suggestions. •Presented final projects to VP of Actuarial Services and other members of Actuarial teams.