Peiqi Jiang - Process Improvement Engineer - American Credit Acceptance

Summary

Solution Engineer with a hybrid background in analytics, data engineering, automation, and executive-level communication. Skilled at translating complex technical problems into clear business value, delivering demos, and supporting POCs. Hands-on experience with SQL, Python, cloud data workflows, predictive modeling, and BI engineering.

Overview

3

years of professional experience

Work History

Process Improvement Engineer

American Credit Acceptance

Spartanburg, South Carolina

06.2024 - Current

Automated title/assignment documentation with RPA, reducing buyback exposure, and generating over $615K in annual savings.
Built enterprise KPI dashboards with DAX, RLS, and predictive modeling, reducing abandoned calls by 100+ weekly.
Designed centralized BI datasets and reporting ecosystem, standardizing KPIs, and reducing redundant reporting by 30%; improved efficacy by 0.1% of total loss; and estimated to have saved $680K per year in loss mitigation.
Developed SQL pipelines and analytics to improve CFPB compliance and operational accuracy.
Built Holt-Winters forecasting and optimization models to support proactive KPI management.
Created an AI-powered project tracking application (Node.js, Angular, and Redshift) with audit trails and business value tracking, now used by leadership.
Improved synthetic fraud underwriting processes, increasing decline accuracy by 3%, and delivering over $4.05M in annual savings.
Presented dashboards, analyses, and business cases to executives to influence strategic decisions.

Graduate Student Consultant

Equity Health

Greensboro, NC

09.2022 - 07.2023

Built Power BI dashboards for ACO and population health metrics; developed Python predictive models with 93% accuracy; performed regression, clustering, and EDA.

Education

Master of Science - Business Analytics

Wake Forest University

Winston-Salem, NC

05-2023

Skills

SQL and databases: MySQL, Amazon Redshift, SQL analytics
Programming: Python, R, cursor
Analytics and BI: Power BI (DAX, RLS), Excel Solver, Power Query, and Macro

Methods: forecasting, ML fundamentals, DMAIC
Tools: GitHub, OnBase, JIRA, SharePoint

Timeline