Welcome to my Data Science portfolio! Here, I document a summary of my projects.
Project |
Completion Date |
Tools |
Project Description |
๐ก AudioAid |
December 2023 |
Python, CNNs, TensorFlow Lite, Raspberry Pi |
AudioAid, a machine learning-based monitoring device that identifies falls among seniors, enabling them to safely age in place by utilizing sophisticated audio analysis techniques. This project addresses a crucial need given the increasing elderly population, with the device providing real-time fall detection, promoting independence and ensuring the safety of seniors through innovative data science applications and ethical user engagement. |
๐ญ Brain Tumor Classification |
May 2023 |
Python, TensorFlow, Keras, Scikit-learn |
Built and evaluated a Multinomial Convolutional Neural Network (CNN) for classifying brain tumor images into four categories. Utilizing TensorFlow and Keras for model development, along with SHAP for model interpretability, it demonstrates a comprehensive approach to handling image data, augmenting it for robustness, and deploying advanced machine learning techniques for accurate classification and insight into the model's decision-making process. |
Project |
Completion Date |
Tools |
Project Description |
๐ก Cancer Trends in the U.S. |
May 2024 |
Tableau |
Created visualization in Tableau to help identify trends in cancer incidence and mortality rates between 1999 and 2019 in the United States. We focused specifically on showing cancer incidence and mortality rates by 4 factors: state, gender, age groups, and race. |
๐ญ Car Thefts in San Francisco |
Decemeber 2022 |
Python (Pandas, Numpy, Matplotlib, Seaborn) |
Developed visualizations to analyze weekly and monthly patterns, district-specific crime rates, resolution rates, and their potential correlations with socioeconomic factors, aiming to guide more effective crime prevention strategies and resource distribution. |
Project |
Completion Date |
Tools |
Project Description |
๐ก Acme Gourmet Meals: Consumer Insights |
March 2023 |
SQL, AWS, Docker, Anaconda, PostgreSQL, Google Maps API |
Developed and orchestrated a comprehensive data analysis project, refining intricate data models and executing SQL queries within a dynamic AWS cloud environment. The project's success was marked by creating advanced visualizations in Python and devising a strategic model to elevate a gourmet meal service's customer insight and engagement. |
๐ Acme Gourmet Meals: 3rd Party Sales |
April 2023 |
Python, PostgreSQL, Jupyter Notebook, Staging Tables, JSON Parsing |
Conducted a data wrangling initiative to integrate and analyze sales data from a third-party channel. The goal was to validate and transform raw JSON data into actionable insights through a meticulous pipeline of staging, cleansing, and preliminary analytics to inform strategic decision-making for a gourmet meal delivery proof of concept. |
๐ถ Acme Gourmet Meals: Delivery Option |
May 2023 |
Python, NoSQL Databases (Neo4j, MongoDB, Redis) Jupyter Notebook |
Designed, created, and deployed a custom data model for a dog adoption data set using Python and PostgreSQL on Jupyter Notebook. |
Project |
Completion Date |
Tools |
Project Description |
๐ก Reading Comprehension in Different Medium |
December 2023 |
R |
Conducted a within-subjects experiment using ACT reading exam passages to assess the impact of different mediums on comprehension. Used statistical tests, including linear regression, ANOVA, and power analysis. |
๐ Unions and Workplace Satisfaction |
May 2023 |
R |
This project explores the relationship between unionization and workplace satisfaction using data from the General Social Survey, aiming to contribute to a better understanding of the benefits of unionization. |