Eric
Los Angeles, CA, United States0
Data Analyst | Business Analyst | Data Science Graduate Student at University of Michigan | Driving Strategic Business Growth via SQL, Python & Tableau | Passionate about Solving Complex Business Problems
Data analyst with 4+ years of experience building predictive models, dashboards, and analytics pipelines. Delivered $11M+ in annual savings at Hyundai through time-series analysis and operational KPI optimization.
AI Fluency
Q&A
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Projects
C
Checkout A/B Test Analysis | E-Commerce User Session Data
E-commerce user session data analysis
Analyzed 50K+ e-commerce user sessions using Python and SciPy to evaluate checkout flow changes. Validated statistical significance and translated results into checkout optimization recommendations.
C
Cohort Retention Dashboard | SaaS User Activity Data
SaaS user activity tracking and visualization
Built SQL-based cohort analysis tracking 30/60/90-day retention across monthly user cohorts. Designed Tableau dashboard with retention heatmaps and churn-risk segmentation to identify drop-off points.
d
dbt Analytics Pipeline | E-Commerce Orders and Customer Data
E-commerce data transformation and modeling
Built end-to-end analytics pipeline in dbt and PostgreSQL, transforming raw order and customer data into 12 tested staging and mart models. Developed KPI-ready aggregate tables that accelerated Tableau reporting with consistent data marts.
R
Rainy vs. Clear Day Accident Analysis – NYC Collision Data
NYC collision data analysis with geolocation
Cleaned and integrated 196K+ NYC collision records with weather and geolocation data using Python Pandas. Visualized crash hotspots using Folium and identified weather-correlated risk patterns.
Experience
Handshake AI Fellow
HandshakeSep 2025 — Dec 2025
• Evaluated and validated LLM-generated outputs to ensure factual accuracy, logical consistency, and reduced bias, significantly improving the reliability of datasets for downstream analysis.
• Analyzed AI response patterns across diverse prompt scenarios to identify core error typologies, providing data-driven, actionable feedback to enhance overall model performance.
• Processed and structured complex unstructured data through rigorous annotation, transforming raw inputs into standardized formats ready for advanced analytics.
Research Data Scientist
University of Michigan - School of InformationAug 2025 — Dec 2025 · Ann Arbor, Michigan, United States
• Conducted extensive data collection and preprocessing to enhance public datasets and partner organization data for research purposes.
• Designed and implemented predictive models and algorithms using advanced machine learning and AI techniques.
• Validated model performance through rigorous experimentation, ensuring alignment with research objectives.
Strategy & Operations Manager | Business Analytics
Hyundai Motor GroupJan 2020 — Mar 2024 · San Jose, California, United States
Led data analytics initiatives across predictive maintenance, EV charging expansion, and operational optimization. Built time-series anomaly detection models that reduced unplanned downtime by 40% and saved $10M+ annually. Analyzed 10K+ EV charging transactions to calculate station-level ROI metrics informing expansion of 5+ charging hubs. Designed Power BI dashboards tracking approval workflows and process KPIs, cutting lead times by 50% and annual costs by $1.5M. Standardized performance data for 200+ startups and automated data consolidation pipelines, reducing manual work by 70%.
Education
Hanyang University
Bachelor of Science in Mechanical Engineering
Credentials
U
Course
Intermediate PostgreSQL
University of Michigan
D
Course
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
A
Course
Claude Code in Action
Anthropic
Issued Mar 2026
R
Publication
Requirement Analysis of Technology Foresight Process Design for Communication Systems in the Automotive Industry
Issued Nov 2020
Published in The Journal of Korean Institute of Communications and Information Sciences (Nov 2020)
SUMMARY:
- Conducted quantitative foresight analysis to map disruptive patterns in telecommunication and vehicle network systems.
- Analyzed communication & sensor data systems in the automotive domain to identify requirements for future-proof technology architectures.
- Proposed a data-driven framework for evaluating innovation readiness and cross-domain technology adoption in connected-car ecosystems.
- Integrated system modeling and qualitative analytics to improve flexibility and decision-making in R&D investment planning.
Recommendations
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Skills
Analytical SkillsPython (Programming Language)PostgreSQLMySQLTableauJiraMicrosoft Power BISQLGitR (Programming Language)SeabornPandas (Software)Data QualityProduct AnalysisStatistical Data AnalysisHypothesis Testing