Résumé

B.S. Mathematics

Allegheny College Meadville, PA

• GPA - 3.55 (Cum Laude)

Machine Learning Specialization

• Studied supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning; learned some of the best practices for machine learning models; and gained practical skills to apply machine learning techniques.

Google Data Analytics Professional Certificate

• Developed an advanced understanding and proficiency of platforms for effective data analyses, including spreadsheets, SQL, R, and Tableau.

Undergraduate Researcher

Allegheny College Mathematics Department Meadville, PA

• Studied mathematics under the supervision of Professor Caryn Werner.
• Explored systems of algebraic curves in the projective plane, a topic in algebraic geometry.
• Solved equations and visualized graphs using Wolfram Mathematica and the Wolfram Language.
• Presented my work to students and faculty of Allegheny College, as part of the ACRoSS seminar series.

Fertility Rates Case Study

• Conducted a study to explore the trends of average total fertility rates across large geographical regions from 1960 to 2021.
• Concluded that a significant decline in average total fertility rates has been observed in nearly every country.
• Utilized R, Tableau, Excel, Git, GitHub

Deep Work Tracker

• Developed a Python project to track and record focused work activities, known as “deep work”, to improve my productivity.
• Implemented a CSV file-based system for logging daily accomplishments and a Python script for generating visualizations and a daily/monthly summary.
• Utilized Python, Pandas, Matplotlib, Seaborn, Git, GitHub

Pathfinding Visualizer

• Developed an immersive JavaScript web application to visualize various search algorithms.
• Implemented Depth-First Search, Breadth-First Search, A* Search, Greedy Best-First Search, and Dijkstra’s algorithm.
• Utilized JavaScript, HTML, CSS, Git, GitHub

Sorting Visualizer

• Built an interactive JavaScript web application to visualize a range of sorting algorithms.
• Implemented Bubble Sort, Heap Sort, Insertion Sort, Quick Sort, and Selection Sort.
• Utilized JavaScript, HTML, CSS, Git, GitHub