Summary
Overview
Work History
Education
Certification
Timeline
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LIANG WANG

Chicago,IL

Summary

Accomplished Senior Data Engineering Analyst with 10 years of experience in advanced machine learning, data science, and risk modeling. Expert in driving cloud migration (AWS), optimizing credit risk models, and leading data-driven initiatives that influence strategic decision-making. Proven track record in improving model performance, enhancing operational efficiency, and delivering innovative solutions for both consumer and commercial data. Strong collaborator, skilled in managing model lifecycles and translating complex data insights into actionable business strategies.

Overview

10
10
years of professional experience
1
1
Certification

Work History

Senior Data Engineering Analyst

Experian PLC
05.2021 - Current
  • Spearheaded User Acceptance Testing (UAT) for migration from legacy platform to AWS, ensuring alignment with development benchmarks, resolving bottlenecks through manual audits and score simulations, and delivering biweekly reports to senior management to ensure seamless communication across Product, Tech, Data, and Modeling teams
  • Played a key role in strategic data evaluation initiatives, utilizing exploratory data analysis (EDA) and proof-of-concept (POC) model fitting to advise senior management on sourcing alternative data, including fintech and commercial real estate, influencing key decision-making
  • Designed and implemented an innovative, modularized Bureau Adverse Action process for XGBoost-based commercial credit risk models (ML), improving batch calculation efficiency by 60%+ and enhancing AA code diversity; the process, currently in preparation for patent application, is easily translatable to both legacy and cloud platforms, ensuring business alignment and flexibility
  • Oversaw deployment of industry-specific risk models and led model/score lifecycle governance, recommending replacement strategies and continuity plans for retired models

Data Engineering Analyst II

Experian
11.2020 - 04.2021
  • Enhanced small business lending reject inference, increasing default predictiveness (KS) by 5 points through improved segmentation, proxy population, and refined performance flags
  • Developed commercial attributes using SBFE consortium data and applied random forests to assess the significance of the newly created attributes

Data Engineering Analyst I & II

Experian
08.2015 - 10.2020
  • Led the development of machine learning 'attributes' for two major Experian core brands (Premier 1.3 and Trended Attributes), improving model performance (Gini, accuracy, precision, recall) by over 10% each, as measured by POC machine learning consumer credit default risk models
  • Designed unsupervised, tree-based machine learning procedures for attribute creation using consumer data (300+ million), guided managers and trained teammates on the process, reducing time and costs by at least 50%
  • Delivered client training in machine learning, resulting in additional business contracts
  • Supported the Experian Boost team with data mapping and the design/implementation of SQL/HQL procedures, reducing storage burden by 60% on partitioned dense tables in Hadoop HIVE on AWS
  • Delivered data mapping documentation and Python auto-scripting tools for SQL commands, earning positive feedback from the Boost team
  • Collaborated directly with major credit grantors to leverage 300+ million Experian consumer records, creating customized analytical products and attribute specifications, supporting sales efforts with case studies and a client Q&A repository

Education

Ph.D. - Industrial Engineering

Purdue University
West Lafayette, IN

M.S. - Statistics

Purdue University
West Lafayette, IN

Certification

CFA Level I

Timeline

Senior Data Engineering Analyst

Experian PLC
05.2021 - Current

Data Engineering Analyst II

Experian
11.2020 - 04.2021

Data Engineering Analyst I & II

Experian
08.2015 - 10.2020

Ph.D. - Industrial Engineering

Purdue University

M.S. - Statistics

Purdue University

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