Yi Hsiang Teng

Co-Founder

05.2022 - 03.2023

Negotiated vendor terms and managed purchasing cycles to reduce unit cost by 20% and achieve 160% ROI
Tracked inventory levels and monitored event material flow, minimizing loss and over-purchasing
Developed cost and supply SOPs for event execution, ensuring process standardization across campaigns
Initiated partnerships that generated new revenue channels, while maintaining cost discipline
PROJECTS
Nonlinear Impact of the COVID-19 Pandemic on the Volatility of the U.S
Financial Markets
Conducted a pioneering research study on the impact of the COVID-19 pandemic on the U.S
Stock market, exploring the effects of global confirmed cases and deaths on market volatility
Java Object-Oriented Project: Snake Game
Designed a fully functional Snake Game utilizing object-oriented programming (OOP) principles, featuring player controls, random apple generation, scoring system, and collision detection
Quantitative Analysis of Wine Quality: A Linear Regression Approach (Python and Excel)
Applied a linear regression model to a wine quality dataset, analyzing the impact of key chemical components (pH level, volatile acidity, chlorides, and total sulfur) on wine quality, identifying the most significant factors influencing final wine quality ratings
Quantitative Analysis of Cancer Risk: A Logistic Regression Approach (Python and Excel)
Developed a logistic regression model utilizing 5 tumor markers (AFP, CEA, CA125, CA199, and CA50) to analyze their impact on cancer risk, identifying key biomarkers that significantly influence cancer probability
Employed statistical evaluation criteria, including Chi-Square tests, Residual Deviance, and P-values, to assess the significance of each tumor marker
Optimal Flight Selection: Evaluating Transit Delays and Best Route Choice for Passengers
Built an optimal flight selection model, analyzing 6 flight options with varying departure times, durations, and transit stops, to determine the best route with the shortest total travel time and minimum layover duration
Simulated 10,000 randomized travel scenarios to estimate delay probabilities for each flight option, with data-driven insights for passengers to make flight choices and minimize travel disruptions due to delays
Association Rule Mining Using WEKA and Apriori Algorithm
Utilized WEKA and the Apriori Algorithm to perform Association Rule Mining on large transaction datasets, analyzing customer purchasing behavior and identifying relationships between products to inform Market Basket Analysis
Extracted valuable insights from transaction data, uncovering patterns and correlations between products, enabling retailers to optimize product placement, enhance cross-selling strategies, and improve customer shopping experience
Building a Backend Database and User Behavior Monitoring System Using AWS
Built a cloud-based backend system using AWS to simulate real-time user behavior tracking and data reporting, mimicking supply chain visibility systems
Integrated automated data submission and unified messaging, demonstrating early-stage capabilities in supply chain digitalization and alert notification frameworks
Implemented a real-time notification broadcasting system, utilizing AWS's data analysis capabilities to send unified messages to all logged-in users
Enhancing SMS Spam Detection with Machine Learning
Carried out a comparative analysis of machine learning classification algorithms (Naive Bayes, Random Forest, SVM) for SMS spam detection, achieving a maximum F1 score of 0.91 and recall of 0.83 with Random Forest
Developed an optimized SMS spam classification system using Random Forest and text preprocessing techniques (tokenization, stop-word removal, lemmatization, TF-IDF vectorization), addressing class imbalance challenges and improving digital communication security via automated spam filtering.