Yili Zhao
@yilizhao
I turn Excel workflows into automated pipelines with Python and low-code
What I'm looking for
I am an operations-focused data and commissions professional with eight years in insurance brokerage who turns fragmented Excel workflows into documented, button-click pipelines using low-code tools and light Python.
I built a commission department from the ground up, hiring and training four specialists, and authored a 70-page SOP library that enables new hires to reach full productivity in under three weeks. I designed a custom low-code CRM schema (10 inter-linked tables, 800+ fields) with role-based permissions that cut agent inquiry turnaround by 60%.
I automate reporting and heavy manual processes: I created a weekly auto-refresh KPI dashboard to replace a day-long manual Excel report, automated annual bonus calculations with Python and Excel pivots (reducing two weeks to one day), and wrote import and cleanup scripts that save 25+ staff-hours weekly.
I served as principal UAT lead during a three-system transformation—logging and verifying 50+ defects and driving a 90% closure rate in the first release cycle—and I thrive on projects that combine CRM customization, ETL, and process design to deliver measurable efficiency gains.
Experience
Work history, roles, and key accomplishments
Commission Department Manager
Anbang Insurance Center
Jan 2022 - Apr 2025 (3 years 3 months)
Built the commission department, hiring and training 4 specialists and authoring a 70-page SOP library; cut agent inquiry turnaround by 60%, shrank payout cycle from monthly to weekly, and reduced manual steps by 40%.
Data Analyst
Anbang Insurance Center
Oct 2019 - Dec 2021 (2 years 2 months)
Automated carrier CSV commission imports with Python, saving 25+ staff-hours weekly and eliminating manual key-ins; created standardized Excel dashboards and pivot templates for sales KPI analysis.
Data Analyst
SVIG Insurance Center
Feb 2017 - Sep 2019 (2 years 7 months)
Cleared a two-year backlog in five months by developing Python scripts to clean, merge, and transform multi-source data, improving data availability for operations.
Education
Degrees, certifications, and relevant coursework
California Lutheran University
Master of Science, Quantitative Economics
Master of Science in Quantitative Economics from California Lutheran University, completed in August 2016.
California Lutheran University
Bachelor of Arts, Economics
Bachelor of Arts in Economics from California Lutheran University, completed in August 2015.
Availability
Location
Authorized to work in
Job categories
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