Taeho Lee

Data Scientist

Hello! Welcome to my website.

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I’ve shared my projects and thoughts here, so take a look around and feel free to reach out to me.

Experience

Data Analyst - Acquisitions & Portfolio Analytics
Hyundai Capital America, Irvine, CA, United States
Apr 2023 – present (9 mos)

  • Provided profitability analysis for product, new pricing proposals, and policy decisions, checking key assumptions and impacts on rates
  • Performed data analysis/validation, data manipulation, and database building in SQL/Python/SAS

Student Data Scientist
Octane OC, Irvine, CA, United States
Feb 2022 – Jun 2022 (5 mos)

  • Developed machine learning and deep learning models for a startup accelerator to predict the likelihood of a startup funding and got 97% prediction accuracy.
  • Built databases and dashboards for startups, gathering public data sources (Pitchbook, Crunchbase, ZoomInfo, D&B, Hubspot, etc.) by using SQL queries.
  • Performed data cleaning, manipulation, feature selection, modeling, validation and optimizing process to identify significant factors for predicting and to increase prediction accuracy.
  • Applied NLP techniques to analyze pitch deck transcription and built CNN model to increase the prediction accuracy by using TensorFlow.
  • Suggested scoring framework improvement and quantitative consulting solutions to stakeholders based on analysis and models.

Investment Banking Analyst & Associate - IPO
Eugene Investment & Securities, Seoul, South Korea
Aug 2016 – May 2021 (4yrs 10mos)

Participated in all phases of IPO deals for 10+ frims as a team, executing financial analysis, valuation and due diligence.

  • Drafted IPO proposals, CIM, analyzing economy, stock market, industry, business models and competition landscape by using Bloomberg Terminal.
  • Conducted due diligence on over 50+ companies, checking requirements for IPO, reviewing financial reports, interviewing C-suite, and wrote due diligence reports to assist senior managers’ consulting services.
  • Built pro-forma financials and 3-statement model based on different transaction capital structure and various operational cases.
  • Performed investment return projection employing peer group analysis (P/E, P/B Ratio, EV/EBITDA, etc.) and DCF method.
  • Prepared preliminary examination reports and investment prospectus for KRX & FSS, achieving 100% examination approval rate.
  • Assessed investment key business issues, including values drivers and investment risk factors and established equity sales strategy for each deal and made presentations on investment highlights in Investor Relations to maximize offer price.
  • Reviewed 10+ pre-IPO investments in the form of common stocks, RCPS, BW and CB and contracts to check on legal and compliance issues.
  • Developed new online subscription system in collaboration with IT department, reducing workload by 95%.