allegrasimmons / my_projects

Allegra's Portfolio

Welcome to my Data Science portfolio! Here, I document a summary of my projects.

📚 Table of Contents

• Machine Learning
• Data Visualization
• Data Engineering
• Statistics

Machine Learning

Project	Completion Date	Tools	Project Description
🏡 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.
💭 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.

Data Visualization

Project	Completion Date	Tools	Project Description
🏡 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.
💭 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.

Data Engineering

Project	Completion Date	Tools	Project Description
💡 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.
🛍 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.
🐶 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.

Statistics

Project	Completion Date	Tools	Project Description
💡 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.
🛍 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.