Web Application Machine Learning

Nicholas Cataldo

** ******* *** • Floral Park, NY 11001 • *************@*****.*** • 516-***-**** • LinkedIn • github.com/n-cataldo Education

University at Buffalo Expected May 2028

Bachelor of Science in Computer Science Buffalo, NY GPA: 4.0

Relevant Coursework: Introduction to Python, Calculus II, Introduction to Java (Spring 2025), Linear Algebra (Spring 2025) Experience

Wireless Networks for Smart Systems (WN4SS) Lab Buffalo, NY Researcher December 2024 - Present

Wireless Topology Tool - Web Application WT-Tool

● Collaborating on the enhancement of a wireless topology web application by contributing to the integration of mobility features into signal calculations, using Flask and the Google Maps API.

● Developing front-end components using JavaScript, HTML, and CSS to enhance user interaction and support real-time updates during user movement.

● Contributing to the refinement of existing application features, focusing on usability and performance optimization for dynamic wireless topology calculations

Weather-Based Signal Strength Prediction - Project

● Engaging in a machine learning project to improve predictions of wireless signal strength under varying weather conditions, with a focus on model enhancement and refinement.

● Applying exploratory data analysis (EDA) techniques with Python and pandas to preprocess data, using normalization and standardization to prepare it for model development

● Trained models, such as linear regression, using the scikit-learn library to predict signal strength based on processed data to enhance performance.

Projects

Personal Finance Tracker Python, Pandas, Matplotlib GitHub

● Developed a personal finance tracking application to record, analyze, and visualize income and expense data, enabling clear financial oversight.

● Implemented CSV-based data management with functions for efficient entry, storage, and retrieval, supporting flexible date-based summaries and insights.

● Integrated Matplotlib for data visualization, displaying financial trends and enabling users to track spending patterns. Interactive RPG JavaScript, HTML, CSS GitHub

● Developed an interactive text-based RPG game that tracks player stats and progress through dynamic choices and real-time updates.

● Utilized HTML, CSS, and JavaScript to create a responsive interface and an event-driven system for seamless gameplay transitions.

● Utilized conditional rendering and user input handling to create a responsive game flow, providing players with multiple outcomes based on their choices.

Python Banking Application Python GitHub

● Constructed a comprehensive class-based banking system with inheritance and custom exception handling, featuring balance checks, deposits, withdrawals, and account transfers for both standard and interest-earning accounts.

● Used object-oriented principles to create modular classes, enabling scalability and management of account features like fees and rewards.

● Improved reliability and user experience by developing a custom exception class to effectively handle balance-related errors.. Quiz Application Python GitHub

● Developed an interactive quiz application that presents randomized true/false questions, featuring real-time score tracking and instant feedback to enhance user engagement.

● Implemented object-oriented programming to create distinct classes for question management and quiz operations, improving code organization and scalability.

Leadership & Activities

UB Robotics September 2024 – Present

● Collaborating on developing a competitive robot for the VEX robotics competition.

● Contributing to C++ programming that enhances robot performance, optimizing algorithms for effective competition strategies. Artificial Intelligence Club Member August 2024 – Present

● Actively collaborate with peers on diverse AI projects, engaging in discussions and hands-on activities to deepen understanding of machine learning concepts and applications.

● Contributed to team efforts in exploring emerging AI technologies and methodologies, promoting innovation and continuous learning. Data Analytics Member August 2024 – Present

● Learned data analysis techniques focused on customer behavior to enhance satisfaction and drive sales.

● Acquired knowledge in data analysis techniques specifically aimed at understanding customer behavior and preferences. Technical Skills

Languages: Python, C, C++, JavaScript, HTML, CSS

Libraries/Frameworks: Pytorch, NumPy, Pandas, Matplotlib, React, Node.js, Express

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