Portfolio
Back-End Projects
314 - Software Development
This class was a semester-long software development course with a 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
A classmate and I collaborated on a term project to utilize distributed systems to solve a problem. We decided to investigate specific advantages or disadvantages that teams may receive when faced with different ballpark dimensions. We used the Hadoop MapReduce framework and HDFS to break down over 300,000 pitches from the 2023 MLB season. We found that there is conclusive evidence that suggests each park requires a different hitting strategy to be successful and ultimately win games.
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.
