As a professional with over 4 years in the analytics industry, I have experience with many parts of the analytics lifecycle. From a technical standpoint, I use tools like Python, SQL, and Tableau to turn business questions into recommendations and data solutions.

2026 — NowIntuitData Engineer

2026 — Now

2025 — NowMurrietta CircuitsSoftware Engineer

2025 — Now

2024 — 2025IntuitAnalytics Engineer

2024 — 2025

Mountain View, California, United States

Built a unified metric data mart in Python and SQL for TurboTax and QuickBooks, consolidating

30 metrics from disparate sources to enable executive-level reporting and operational

decision-making

Automated data mart operations by dynamically generating SQL through Python, with table

creation and modification fully driven by config files; workflows orchestrated via SuperGlue

Created a new KPI for TurboT ax Live by developing ETL pipeline from raw clickstream data

using Databricks SQL on AWS; output influenced product engagement strategies

Own and maintain 20+ production pipelines supporting 50+ analytics and data science users,

with responsibilities including monitoring, debugging, SLA management, and ongoing pipeline

optimization

Reduced manual A/B testing workload by 75% for the Mint website by developing an

automated reporting pipeline in Python and SQL, increasing experiment velocity and reducing

analyst overhead

2022 — 2023IntuitAnalytics Engineer

2022 — 2023

Developed and measured new KPI through Databricks SQL, leveraging raw clickstream data in AWS data lake, and making KPI widely available via Tableau

Cut down manual A/B testing reporting tasks by over 75% by spearheading automated testing pipeline leveraging Python & SQL

Created feature adoption framework & ETL pipeline leveraging Databricks SQL, Github, & SuperGlue

Used Python to statistically measure website performance using numpy, pandas, and matplotlib libraries

2020 — 2022Axos BankData Analyst

2020 — 2022

San Diego, California, United States

Implemented Paid Marketing data automation using SQL, Tableau, Tableau Prep, and Panoply, allowing for real-time reporting and reduced reporting times by 3-5 hours/week

Applied LTV framework to digital marketing campaigns using T-SQL, reducing wasted ad budget by 20%

Increased A/B testing coverage by 10% on website by implementing custom Python module & collaboration with web development department

Utilized Google Analytics and Google Optimize to execute and analyze over 20 A/B tests on website

Education

2016 — 2020

San Diego State University

Bachelor of Science - BS

2016 — 2020

2019 — 2019

The Chinese University of Hong Kong

2019 — 2019

Experience+

Education

Bachelor of Science - BS