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CS @ Hofstra University ‘27, Chaminade High School '24, Swift Student Challenge Winner ‘23
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Tast-Technologies
Data Scientist
June 28, 2026 – Present
StockProjectAPI-CSC190
February 9, 2026 – Present
StockProjectAPI-CSC190 — GitHub repository
View ProjectBTT-Machine-Learning-Problem-Lab-8
August 1, 2025 – August 1, 2025
Define and Solve your own Machine Learning Problem. This logistic regression model predicts one's income status based on their various attributes.
View ProjectCollegeSearchNotebook
October 25, 2022 – October 29, 2022
Submission for Congressional App Award 2022
View ProjectElementCompound
March 27, 2021 – January 7, 2023
An app developed to help Element Media of Chaminade High School
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in technology through a diverse range of personal projects, including web development, mobile app development, and machine learning. Participation in hackathons suggests a collaborative and competitive spirit. The current role as a Data Scientist aligns well with the target role, indicating a clear career path. The variety of technologies used across projects (Python, JavaScript, Swift, Java, TypeScript, CSS, HTML, Dockerfile, Jupyter Notebook, Ruby, Lua, Shell, PL/pgSQL) shows a broad technical curiosity and willingness to explore different domains, which can be a positive cultural fit for dynamic environments. However, the experience level is listed as 0, which contradicts the current Data Scientist role, requiring clarification.
Soft Skills & Operational Fit
The candidate's participation in multiple personal projects and hackathons suggests initiative and a proactive approach to learning and problem-solving. The description of the 'BTT-Machine-Learning-Problem-Lab-8' project indicates an ability to define and solve problems, which is a valuable operational skill. However, without psychometric test results or interview data, a comprehensive assessment of soft skills like teamwork, stress handling, and communication clarity is not possible.