Machine Learning Los Angeles

Jae Hoon Lee

Los Angeles, CA 213-***-**** ******.***@*****.***

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Summary

A highly motivated Data Science Master's candidate (expected 2026) at Boston University with over 5 years of experience in data analytics, predictive modeling, and process automation. Proven expertise in SQL, Python, and Big Data technologies (e.g., 20M repair orders) to derive actionable insights and build impactful solutions. Eager to apply a strong analytical foundation and developing machine learning skills to contribute to AMD's next-generation technology innovations. Education

Master of Science in Data Sciences 4.0

Boston University – Expected 2026

Bachelor of Science in Computer Information Systems, Magna Cum Laude California State University, Los Angeles 2019

Experience

Data Analyst American Honda Motor Co., Inc., Torrance, CA Mar. 2022 – Present

• Developed Python machine learning financial models for a $35 million investment, supporting a strategic plan that achieved a 356% ROI over 10 years.

• Analyzed over $3.8 billion in annual sales data and 20 million repair orders, building Power BI and Tableau dashboards that improved forecasting accuracy by 15% and cut time-to-insight from 3 days to 2 hours.

• Automated part sales reporting with SQL scripts and CTEs in Power BI, reducing manual reporting time by 100%.

• Designed and executed the 2025 Customer Paid Repair Order (CPRO) targeting strategy, leveraging predictive analytics to forecast service volume.

Research Assistant California State University, Los Angeles (BigDAI) Jan. 2021 – Mar. 2022

• Analyzed COVID-19 vaccination and case data using Hadoop and HiveQL, presenting findings in KSII ICONI 2021, KrAIS 2021 and UKC 2021.

• Assessed public opinion trends related to COVID-19 through sentiment analysis, providing insights for academic research.

Data Analyst Internship Housing and Community Investment Department of Los Angeles Jan. 2020

– Dec. 2020

• Developed MS SQL queries to extract rental property data, aiding in the recovery of over $500,000 for the City of Los Angeles.

Publications & Academic Projects

• "The Correlation of COVID-19 Vaccination and Confirmed Cases Using Scalable Big Data," KSII ICONI 2021, pp391-393.

• Exploring Electric Vehicle Adoption Through Hadoop-Driven Urban Analytics (Fall 2024)

: Analyzed EV adoption in California and New York, identifying infrastructure gaps and recommending strategic investments in Level 3 fast charging.

• Crime and Policy Impact Analysis: Employed regression, Anova, and t-test to study the impact of political leanings and Proposition 47 on crime rates. Technical Skills

• Data Analytics & ML: SQL, Python (Pandas, NumPy, Scikit-Learn), SAS Enterprise Guide, Predictive Analytics, Machine Learning Algorithms

• Big Data & Databases: Hadoop Ecosystem, HiveQL, NoSQL

• Visualization & Reporting: Tableau, Power BI, Excel (PivotTables, PowerPivot)

• Methodologies: Agile, Design Thinking, SDLC

• Currently Learning: Azure Data Factory

• Planned Learning: PyTorch (expected 2025-2026 academic year)

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