PMI SF Bay Area Chapter NGL Let’s Jam Challenge (2nd Place Winner)
(Tableau, Dashboard, Data Management) The Let’s Jam! Challenge is an opportunity for you to showcase your talents and skills in project and product developme...
Projects
2024
Hurricane Maria: Object Detection
(Python - Machine Learning, Computer Vision (YOLO)) The 2024 EY Open Science Data challenge is focused on helping coastal communities become more resilient t...
Thailand Facebook Live Data: Unsupervised Analysis
(Python - Machine Learning) This is to analyze the impact of photo content. It employs various machine learning techniques such as Logistic Regression, Princ...
Predicting Low Birthweight: Classification Modeling Case Study
(Python - Machine Learning) A critical measurement that can signal complications in a baby’s health, birthweight, will be analyzed and predicted. Countless s...
Air France Marketing: R Analysis
(R, NLP) Air France Internet Marketing: Optimizing Google, Yahoo!, MSN, and Kayak Sponsored Search. The analysis reveals whether different search engines we...
Chicago Bike Rental: Regression-based Analysis
(Python - Machine Learning) This regression analysis and model aims to developing a machine learning model to predict the number of bike rentals on a given d...
2023
Wedding Proposal for Client
(SQL) Designed a database based on the hair and makeup vendors information in San Francisco Bay Area. This includes entities, functional dependencies, and En...
Text Adventure Game: Escape Room
(Python) A text adventure game full of random plot twists and survival strategy. This game requires critical thinking, simple code analysis, and having fun w...
Wedding Vendors Database Design
(SQL) Designed a database based on the hair and makeup vendors information in San Francisco Bay Area. This includes entities, functional dependencies, and En...
Sales Performance Analysis
(Tableau, Dashboard) A comprehensive view and interactive dashboard of sales performance with key metrics, BANS, drill-down bar chart, and maps with dynamic ...
SQL Guess The Movie Challenge
(SQL) Choose one film based on alternating numeric and non-numeric yes/no questions. Only 3 maximum questions per column are allowed.