CHIEN-HAN (JENNY) CHIU

Projects

Capstone Project— Data Analyst and Market Strategy

Cleaned and categorized raw data, filling missing values in the HubSpot dataset by categorizing industry fields and headquarters regions. Transitioned from Python web scraping to AI tools, enhancing efficiency. Additionally, evaluated lead generation tools and conducted competitor analysis to refine customer targeting and business outreach

Data Analysis Data Cleaning Data Transformation Lead Generation Marketing Strategy SEO Optimization Google Ads Campaign Performance Competitor Analysis Customer Segmentation Business Insights Data Visualization

Red Wine Prediction and Recommendation System(INFORMS Conference Selection)

Built a machine learning model using Random Forest, XGBoost, and KNN to predict wine quality and generate personalized recommendations based on chemical attributes. Performed data preprocessing, feature engineering, and statistical analysis to improve model accuracy. Leveraged data visualization and predictive analytics to enhance consumer decision-making and optimize product offerings.

Machine Learning XGBoost Random Forest KNN Data Visualization Feature Engineering Consumner Analytics

Alphabet Inc. GOOG Stock Trend Analysis with Tableau

Created interactive candlestick charts in Tableau to visualize Alphabet Inc. (GOOG)’s stock trends using Yahoo Finance data. Explored both short-term (1 month) and long-term (2 years) movements to highlight market momentum and price fluctuations. Enabled users to filter by time range and observe patterns through color-coded candles.

Tableau Excel Data Visualization Time Series Financial Analytics

Bankruptcy Risk Prediction with AWS Cloud

Built a cloud-based machine learning pipeline to predict company bankruptcy risk using AWS services. Integrated S3 for data storage, Glue for ETL, Redshift for querying, and SageMaker Canvas for no-code modeling. Achieved over 99% accuracy on non-bankruptcy predictions and identified key financial features impacting risk.

AWS S3 AWS Glue Redshift Sagemaker Canvas SQL Data Architecture Financial Risk Analysis

House Price Prediction with Advanced Regression Models

Worked on a Kaggle team project to predict house prices using a strong regression pipeline. I focused on key tasks such as handling missing values, transforming skewed features, and applying log transformations. Built and tuned multiple models — including Ridge, Lasso, and XGBoost — and contributed to achieving a competitive RMSE on the leaderboard.

Python pandas scikit-learn XGBoost matplotlib seaborn

Senior Project-Podcast Recommendation System Award

Developed a podcast recommendation system with a team of three, integrating Spotify’s API for podcast data. Built a Python- based database and designed a responsive front-end with Bootstrap and Vue to support back-end requirements.

Spotify API Python Word2Vec TextRank Vue.js Bootstrap Recommendation NLP Generative AI Capstone Award

Sales Tax vs. Customer Ratings: A Cross-State Data Analysis

In this project, we analyzed Yelp reviews and U.S. tax data to explore whether higher sales taxes impact business ratings across 14 states. Despite our hypothesis, regression results showed only weak correlations — suggesting that service quality and customer expectations may outweigh tax factors.

SQL Python API Excel Yelp Dataset Data Visualization Data Analysis

E-Commerce Text Analytics: Sentiment Classification & Recommendation System

Conducted sentiment analysis on 23K+ e-commerce reviews using BERT and SVM to classify customer feedback. Used LDA topic modeling to identify key concerns and routed reviews to relevant teams. Built a personalized recommendation system based on sentiment, rating, and user profile to support product improvement and marketing strategies.

Sentiment Analysis Text classification BERT Support Vector Machine Topic Modeling TF-IDF Customer Insights Data Preprocessing NLP for Business Data Visualization

News

• 🎓
  May 10, 2025

  Graduated with a Master’s in Business Analytics from UW–Madison.
• 🏅
  May 10, 2025

  Awarded the Experiential Learning Award as the only recipient in the MSBA cohort, recognizing my active participation in treks, immersion events, and outstanding capstone contribution.
• 📊
  May 2, 2025

  Capstone Project: Delivered lead generation strategy, marketing insights and data analysis for automation firm Development LLC.
• 🍷
  April 6-8, 2025

  Presented a wine recommendation system at the 2025 INFORMS Analytics+ Conference with 700+ attendees.
• 🚀
  Nov 2024

  Earned 10,000+ impressions on LinkedIn by sharing academic and professional experiences from UW–Madison.

Resume

You can download my resume below or preview it directly in your browser.

Skills

Awards & Achievements

Interests

Apart from working in analytics and marketing strategy, I enjoy spending my free time outdoors. In the winter, I’m a passionate snowboarder and love exploring new slopes. During the summer, I play golf and enjoy hiking and capturing scenic views with my camera.

When indoors, I enjoy baking desserts like tiramisu and Basque cheesecake, and I often research emerging tech trends, especially in AI and the consumer tech space. I also occasionally watch NBA games and enjoy following innovations in the sports and digital lifestyle industries.