Deep Learning
Samsung Stock Price Forecasting
Exploratory TensorFlow forecasting project comparing LSTM and GRU models for Samsung stock prices, including 10-day forecasts.
Product Manager · Data Scientist
Where product meets data science.
I'm Jaewon, a Product Manager at DocuSign with the toolkit of a data scientist. I pair product judgment with modeling, experimentation, and analytics to turn ambiguous problems into clear, measurable decisions.
Product Management · Roadmapping
Experimentation · A/B Testing
Python · SQL
Machine Learning · scikit-learn · XGBoost
Deep Learning · TensorFlow · PyTorch
Tableau · Power BI · Looker
Snowflake · dbt · Airflow
Causal Inference · Forecasting
About
Product thinking, powered by data science.
I studied Data Science at UC Berkeley and now work as a Product Manager at DocuSign, working across both the HR and Legal teams. My favorite work lives where product judgment meets evidence: framing the right problem, then using SQL, experimentation, and machine learning to answer it.
Before product, I trained as a data scientist and analyst across hardware, energy, and SaaS, shipping ML models, dashboards, and automation that saved real time and money. That background is how I think today: I care about products that are measurably better, not just shipped.
Whether the title says product manager or data scientist, the throughline is the same: I use data to make better decisions. A few of my projects are below.
Currently
Product Manager
DocuSign · HR / Legal
Education
B.A. Data Science
UC Berkeley · Major GPA: 3.90/4.0
Based in
San Francisco Bay Area
Open to conversations
Focus
Product · Data Science · Experimentation
Data-informed decisions
Experience
Where I've worked.
Product ManagerDocuSign
Product Manager on the HR/Legal team, working across both HR and Legal, pairing product ownership with hands-on data science.
- Built an employee attrition model (LightGBM) that surfaces the highest-risk 15% of teams, giving HR an early signal to prioritize retention.
- Led an automation integration project connecting 10+ internal applications, cutting manual HR and Legal intake handoffs by ~40% and speeding turnaround ~30%.
- Defined requirements and success metrics for HR and Legal intake workflows with Legal, Engineering, and Data, lifting on-time SLA compliance above 95%.
- Built SQL and Tableau dashboards giving leadership real-time visibility into intake volume, SLAs, and bottlenecks.
Market Research Analyst InternAdvanced Energy
Ran competitive analysis on efficiency, pricing, and market positioning. Automated workflows with Excel VBA and Python, cutting analysis turnaround time by ~90%, and delivered insights that guided product differentiation.
Product Manager InternDocuSign
Built SQL and Tableau dashboards consolidating 50M+ records for leadership visibility; developed a Python churn/renewal model (92% accuracy); SQL/Tableau reporting cut manual reporting ~80%; analyzed 40K+ sales sequences to lift conversion ~15%.
Data Scientist InternMKS Instruments
Deployed ensemble ML models for defect scoring, saving ~$750K annually in scrap costs; migrated 20+ dashboards from Tableau to Power BI; automated warranty trend reporting.
Python & Mathematics TutorTublet
Taught 100+ students Python, statistics, and calculus. Earned the Honorable STEM Tutor Certificate (top 1%).
Portfolio
Personal projects.
Personal, end-to-end projects across exploratory analysis, forecasting, and data modeling/engineering.
Experimentation
E-Commerce Landing Page A/B Test
Analyzed 290K+ users with a two-sample proportion Z-test: saved conversion was 12.04% versus 11.88% (p = 0.1892), with no statistically significant lift and a recommendation against rollout.
Regression
California Housing Cost Modeling
Modeled California housing costs from 20,640 raw records with preprocessing, LinearRegression versus RandomForest, and 5-fold GridSearchCV; the saved tuned result was R² = 0.7724 (0.77 rounded).
SQL · Analysis
COVID-19 Statistical Analysis
Exploratory COVID-19 analysis in PostgreSQL using CTEs, window functions, and aggregations to examine cases, deaths, and correlations.
SQL · Analytics
Data Science Job Market Analysis
SQL analysis of a historical 2023 job-postings dataset, using joins and CTEs to compare skill demand and salary for data-science roles.
Data Cleaning
SQL Data Cleaning: Nashville Housing
SQL Server/SSMS data-cleaning project using date and address standardization, CASE statements, and ROW_NUMBER-based deduplication.
Web Scraping
Amazon Rating Tracker
One-product Requests and BeautifulSoup prototype that captures a product title and average rating, appends to CSV, and includes a 12-hour loop setting.
Portfolio
Personal dashboards.
Personal dashboards built to explore datasets and present analysis.
Tableau
London Bike Rides
Data prepped in Python pandas and presented in a personal Tableau dashboard.
Details
- Moving-average parameter options for day, week, and month.
- Timeline filters for exploration.
- Heatmap of ride counts by temperature and wind speed.
Power BI
Data-Professionals Survey
A personal Microsoft Power BI dashboard whose summary displays 629 responses from a 630-record source dataset.
Details
- Source dataset: 630 raw records.
- Dashboard summary: 629 responses displayed.
- Includes multiple survey-analysis visuals.
Tableau
Seattle Airbnb
Geographical cost analysis with multiple breakdowns of Seattle Airbnb data.
Details
- Relationship between bedrooms and cost per night.
- Average cost by zip code.
- Weekly aggregated calendar listing-price analysis for Seattle.
- Listings grouped by bedroom count.
Excel
Worldwide Bike Sales
Excel bike-sales analysis with pivot tables, charts, and slicer controls.
Details
- 1,026 raw records, 26 duplicates removed, and 1,000 cleaned records.
- Marital-status and gender standardization.
- Age groups created with nested IF statements.
- Pivot tables, charts, and slicer controls for the workbook analysis.
Contact
Let's connect.
Open to conversations about product, data, and everything in between. Reach out anytime.
Reach me
Email jaewon.shim@berkeley.edu