Business Analyst Machine Learning

Paul Kim

***********@*.************.*** +1-224-***-****

EDUCATION

Northwestern University Evanston, IL

Bachelor of Science in Industrial Engineering, Double Major in Economics Minor in Business Institutions, Kellogg Certificate Program for Undergraduates in Managerial Analytics Jun 2026 (Expected)

• GPA: 3.7/4.0; Major GPA: 3.8/4.0

• Relevant Coursework: Honors Calculus, Competitive Strategy, Stochastic Models, Statistics and Machine Learning RELEVANT EXPERIENCE

Northwestern University Evanston, IL

Research Assistant, Department of Economics Oct 2024 - Present

• Collected newspaper articles related to company debt and US monetary policy from 2019 to the present

• Constructed three different sets of criteria to classify US public company debt structure using information from Factset

• Processed raw data, produced basic summary statistics, and performed stratified analysis segmented by asset size

• Executed regression analysis controlling for asset size to assess industry sector’s impact on corporate debt structure Monitor Deloitte Seoul, KR

Consulting Business Analyst May 2024 – Jun 2024

• Collaborated with Deloitte US to facilitate 120+ person PMI workshops for a $9B M&A deal between SK hynix and Intel

• Provided Korean translations for workshop slide decks and recorded multiple meeting notes for engineering module

• Organized daily updates from each swim lane and provided summarized progress reports for team manager daily

• Tracked milestone alignment and action item progress for each swim lane, extracting statistics using pivot charts in Excel Republic of Korea Army Seoul, KR

Fire Direction Control Squad Leader, Sergeant Sep 2022 – Mar 2024

• Performed calculations and operated chemical detection equipment as horizontal-vertical control operator (HVCO)

• Orchestrated weekly training sessions for squad of 4 and won first place in the brigade's annual performance evaluation Sievo Chicago, IL

Data Management Specialist Intern Jun 2022 – Aug 2022

• Classified and consolidated client spend data using T-SQL, Qlik, Excel, and internal company dashboard

• Orchestrated monthly data imports for 3 clients, leveraging Jira, PowerBI, and MS SQL, ensuring timely delivery of data

• Oversaw weekly ticket influx and distributed unclaimed tickets across the team to achieve 100% first response rate

• Spearheaded new AI algorithm integration, improving tail spend classification by 30%+ across 4 client companies PROJECT EXPERIENCE

Tesla Stock Volatility Project Seoul, KR

Independent Project May 2023 – Jul 2023

• Leveraged TensorFlow with GARCH and LSTM models to capture Tesla’s volatility dynamics with 90.17% accuracy

• Attained 97.85% accuracy in predicting stock volatility by applying ARIMA modeling with GridSearchCV optimization Global Research and Consulting Group (Kellogg) Chicago, IL Project Leader, Epilepsy Foundation of Greater Chicago Oct 2021 – Feb 2022

• Took charge of client communication, delivered progress reports, and managed project timeline for team of 5

• Cleansed and reorganized epilepsy training data for 366 schools in the Chicagoland area using Microsoft Excel

• Constructed an interactive Tableau dashboard with geolocation features and a searchable filter for use of lawmakers ADDITIONAL INFORMATION

Technical skills: Python, R, SQL, Excel – advanced; TensorFlow, Java, AMPL - intermediate; MATLAB, HTML/CSS/JS - basic Languages: English (Native), Korean (Native), Chinese (Proficient), Spanish (Basic), French (Basic)

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