This class was a semester long web application course with the focus on the execution of software development standards. Each sprint, we were assigned epics and it was our duty to split it into manageable tasks then complete them.
Data Analysis Projects
Investigating MLB Park Advantages Using Hadoop MapReduce
Investigated specific advantages that teams may receive when faced with different ballpark dimensions. We utilized the Hadoop MapReduce framework and HDFS to break down over 300,000 pitches from the 2023 MLB season.
Machine Learning Projects
Machine Learning Analysis of Denver Crash Data
I analyzed Denver crash data to identify correlations between weather conditions and accidents, leveraging data classification techniques to extract meaningful insights. Using a Random Forest classifier, I optimized hyperparameters to enhance model accuracy, ensuring reliable predictive performance. Through this project, I gained hands-on experience in data classification and predictive modeling, strengthening my ability to work with machine learning algorithms and large datasets.