Wacil Voltaire

About Me

Wacil Voltaire

Hello, I'm Wacil Voltaire, a passionate Computer Science and Mathematics student at the University of Massachusetts Amherst, graduating in May 2025. I specialize in front-end development, with a strong foundation in web programming, data structures, and algorithms.

In addition to my academic work, I have hands-on experience developing web applications and building responsive, optimized websites. I’m also actively involved in the HackUMass community and the Amherst Boxing Club, combining my interests in technology and fitness.

Email: wacilv7@gmail.com

Phone: 774-273-5864

Location: Boston, Massachusetts

LinkedIn: linkedin.com/in/wacil-voltaire

Experience

Academic Background

University of Massachusetts Amherst

Expected Graduation: May 2025

Majoring in Computer Science and Mathematics

Relevant Experience

  • Web Developer - LegerLovingCare

    Developed a responsive healthcare website, focusing on UI/UX and responsiveness.

  • Account Manager - Megalodon Management

    Managed client accounts and promoted Verizon FiOS plans in neighborhoods.

  • Undergraduate Research Assistant - Artificial Intelligence Research

    Conducted research on machine learning algorithms, focusing on data analysis and predictive modeling to advance AI methodologies. Gained experience in data preprocessing, model evaluation, and optimizing algorithms for performance.

Download My Resume

Skills

Programming Languages

  • Java
  • Python
  • JavaScript
  • HTML & CSS
  • SQL

Frameworks & Libraries

  • React
  • Node.js
  • Express.js
  • Bootstrap

Tools & Platforms

  • VSCode
  • Git & GitHub
  • Tableau
  • Power BI
  • Google Suite

Other Skills

  • Data Analysis
  • Machine Learning (basic)
  • Web Development
  • Technical Writing

Projects

Cherish Application

Developed a web app to track and promote mental health using a calendar interface. Integrated Firebase for secure user authentication.

Technologies: HTML, CSS, JavaScript, React, Firebase

Password Generator

Developed a customizable web tool that generates secure passwords based on user-defined parameters like length and character types (uppercase, lowercase, numbers, special characters). Demonstrates interactive UI design and secure JavaScript functionality.

Technologies:HTML, CSS, Javascript

Predicting Coronary Heart Disease

Used logistic regression to analyze risk factors and predict coronary heart disease probability over ten years.

View Project PDF

Contact

Email: wacilv7@gmail.com

Phone: 774-273-5864

Location: Brockton, Massachusetts

LinkedIn: linkedin.com/in/wacil-voltaire

GitHub: github.com/WaDaDon-Create