Data Science Projects

AI-Optimized Battery Management

Featured Projects

This challenge is hosted by SPT, City of Riverside and UCR. The core issue we are trying to solve is: How can AI optimize the use and application of battery storage technologies in real-world energy challenges?

Stack: Python, Pandas, XGBoost, TensorFlow

German Traffic Sign Recognition

The project aims to classify images of German traffic signs into their respective categories using machine learning techniques. The dataset used is the German Traffic Sign Benchmark, which consists of over 50,000 images and more than 40 classes.

Stack: Python, Pandas, TensorFlow

Movie Sentiment Analysis

This project focuses on sentiment analysis of movie reviews, aimed at determining the underlying sentiment expressed within a body of text. By analyzing the content of movie reviews, we strive to classify each review as positive or negative automatically.

Stack: Python, Pandas, NLTK, Scikit-learn, TensorFlow

Salifort Motors Workforce Analysis

Associated with Google Advanced Data Analytics Specialization

Used data analytics to help Salifort Motors identify factors affecting employee retention and innovation, enabling predictive models to support workforce improvement.

Stack: Python, Pandas, Scikit-learn

Real Estate Analysis

Rank 65th percentile in Kaggle's competition

In an exploration of Ames, Iowa's housing market, this project delved into a dataset with 79 variables to uncover the nuanced factors influencing home prices. Using heatmaps, key insights were revealed, highlighting the intricate relationship between property features and their market values.

Stack: Python, Pandas, Scikit-learn

Waze User Churn Analysis

Associated with Google Advanced Data Analytics Specialization

This project aims to help Waze improve user retention by predicting which users are likely to stop using the app. By analyzing user behavior and identifying key factors behind churn, Waze can proactively engage at-risk users and refine its retention strategies.

Stack: Python, Pandas, Scikit-learn

Cyclistic Bike Share Analytics

Associated with Google Data Analytics Specialization

Analyze how casual riders and annual members use the bike-share service differently. Findings will inform a marketing strategy aimed at converting casual riders into annual members, supported by clear data insights and visualizations for executive approval.

Stack: Excel, Python, Pandas