top of page
ABOUT
Computer Science Student
I'm a passionate Computer Science student with a strong interest in machine learning. I’m eager to develop my skills with my sights set on one day becoming a machine learning engineer. I’m driven by the challenge of transforming ideas into solutions that can make a real-world impact, and I’m excited to learn everything I can about how technologies inmachine learning shape our future.
SKILLS
Areas of Expertise
-
Python
-
Pandas
-
Scikit Learn
-
Matplotlib
-
Numpy
-
Swift/SwiftUI
-
C++
-
Java
-
Git/GitHub
-
PRAW (Python Reddit API Wrapper)
-
Flask
-
PostgreSQL
-
REST APIs
-
Google Translate API
-
iOS app development
-
Scripting
-
OOP
-
Server logic
WORK EXPERIENCE
July 2022 - Present
Retail Specialist /
Apple
-
Collaborated with team members to provide exceptional customer service in a high-traffic, flagship store.
-
Developed skills in teamwork, collaboration, and managing complexity in a fast-paced environment.
-
Consistently met and exceeded performance expectations set by leadership maintaining 100% customer ratings score, and exceeding quarterly goals by over 120%
-
Gained valuable experience in decision-making and maintaining high standards of excellence.
November 2021 - January 2022
Sales Associate /
Best Buy
-
Engaged customers with product knowledge and tailored recommendations, driving sales in a multi-level retail space.
-
Delivered friendly, personalized service by welcoming customers and responding to their questions effectively.
-
Enhanced store performance by promoting suggestive selling techniques, contributing to a positive customer experience and increased sales.
EDUCATION
Bachelor of Science in Computer Science
CUNY Queens College, Flushing, NY, August 2024 - December 2026
<Currently Attending>
Bachelor of Science in Computer Science
CUNY York College, Jamaica, NY, August 2023 - May 2024
Liberal Arts
CUNY City College of NY, Harlem, NY, August 2022 - May 2023
Honors Student
Clara Barton High School, Brooklyn, NY, September 2018 - June 2022
CERTIFICATIONS
Getting Started with Python
University of Michigan, Coursera
Python Data Structures
University of Michigan, Coursera
C for Everyone: Programming Fundamentals
UC Santa Cruz, Coursera
PROJECTS
Machine Learning Regression Model for Home Prices Predictions Python
Developed a data preprocessing and machine learning pipeline to analyze and predict home prices using Zillow Home Value Index (ZHVI) datasets in Python. Designed an automated pipeline that extracts and reshapes data using pandas.melt(), ensuring compatibility across different home types (e.g., single-family, condos, 1-bedroom, multi-bedroom homes) at the state level. Converted date values into numerical representations for regression modeling and implemented Simple Linear Regression to forecast future home prices. Evaluated model performance using R-squared scores and visualized trends with Matplotlib. This project highlights expertise in data automation, feature engineering, machine learning, and data visualization for real estate market analysis.
Python Reddit Stories Scrapper Script
A Python script using the PRAW library to automate the extraction of stories from specific subreddits. The script interacts seamlessly with Reddit’s API, storing the stories in a designated directory to streamline content gathering for a Reddit-based YouTube channel. This automation project, emphasizing web scraping and API integration, is available on GitHub.
Password Generator in C++
Designed a random password generator using C++ by applying concepts from data structures and algorithms coursework. The program leverages the ctime library and vectors, utilizing custom functions to generate random ASCII characters, forming secure passwords. This project is focused on security and is hosted on GitHub.
Lord of The Rings Currency Convertor
Developed an iOS application using Swift and Xcode through a Udemy course to convert various Lord of the Rings (LOTR) currencies. The app features a user-friendly interface allowing users to select and convert between different currencies, with an option to swap conversion direction. This project, hosted on GitHub, enhanced my understanding of iOS development, UI/UX design, and mobile app deployment.
Jurassic Park Apex Predators App
Created an iOS application using Swift and Xcode via a Udemy course that catalogs Jurassic Park Apex Predators. The app enables sorting by movie appearance or alphabetically, filtering by terrain (land, air, sea), and searching with a search bar. Detailed profiles include images, movie appearance descriptions, Apple Maps locations, and links for more information. The app, which also features Dino stickers for iMessage, showcases skills in UI/UX design, CoreData management, and API integration. Hosted on GitHub.
C++ Data Structures and Algorithm Labs
Took the initiative to complete and host on GitHub all programming labs assigned throughout the semester, beyond the course requirements. These labs included foundational C++ concepts such as pointers, classes, and object-oriented programming (OOP), as well as advanced topics like implementing data structures (linked lists, stacks, queues) and algorithms (selection sort, bubble sort, merge sort). Collaborated with classmates by providing these resources on GitHub
bottom of page