Computer Science & Engineering; Computational Data Analytics; Mathematics Minor

Artificial Intelligence Platform: Analysis and Experimentation

Created, modified, and redesigned course content, review problems, exams, and laboratory content for over 20 learning modules to transition course from former CSE 2300W catalog number to CSE 2301.

Developed an analytics dashboard using Splunk, SQL, and Teradata queries to visualize system operations and streamline error catching for EPCR and Network Monitoring, resulting in 90% faster investigations and 82% reduced downtime.

Troubleshooted and resolved hardware, software, and networking issues by working directly with university students and faculty to provide prompt and effective solutions through hands-on equipment analysis and repair.

This course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets.

Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you get started.

Azure Fundamentals teaches you basic cloud concepts, provides a streamlined overview of many Azure services, and guides you with hands-on exercises to deploy your very first services for free.

Gained hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification.

Gained hands-on practice with Explainable AI - a set of tools and frameworks to help you develop interpretable and inclusive machine learning models and deploy them with confidence.

Developed valuable skills that are applicable to any Google Cloud initiative.

Built a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.

Learned the best practices for querying and getting insights from your data warehouse.

Gained hands-on practice with the Google Cloud’s fundamental tools and services.

This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform.

This course teaches course participants how to search and navigate in Splunk, use fields, get statistics from your data, create reports, dashboards, lookups, and alerts.

In this five-course accelerated specialization, learners explored and deployed solution elements, including infrastructure components such as networks, systems and applications services using Google Cloud Platform, with a focus on Compute Engine.

This individual has demonstrated their extensive programming skills (advanced commands system navigation) and is able to develop application tasks (C, JAVA, COBOL, assembler and REXX) on the z/OS platform.

SmartEMR is a web-based application designed to empower doctors, nurses, and other healthcare professionals to gain better insights into stored electronic medical records, or EMRs. SmartEMR leverages powerful machine learning tools to provide analysis on key free-form data types, including clinical notes and medical images.

Machine Learning on Men’s Basketball (MLMB) utilizes boxscore statistics of NCAA Men’s Basketball matchups to generate several Machine Learning models which predict the outcome of a specific NCAA men’s basketball matchup.

Founded the UConn UPE Video Tutorials Project, releasing about 6 hours worth of tutoring on demand content one month after the project start date to cover Computer Science & Engineering topics with an initial reach of over 900 students.

Created a customizable game controller that interacts with a PC by building a desktop application framework utilizing Electron.js, Express.js, and Robot.js which communicates with a React-Native based mobile application.

Created a karaoke guessing game in 36 hours with a web framework utilizing Express.js, Socket.io, speech to text APIs, the Spotify API, and parsing syllables from .kar karaoke files.

Worked with 5 team members to design a small scale poker-bot that allows users to visualize and simulate poker hands against multiple opponents by creating a Python interface which incorporates TensorFlow.

Electric Circuit utilizing operational amplifiers, RLC circuits, and a laser with the goal of transmitting audio signals with little to no background noise/static.

Commenced development of an augmented reality product in 24 hours to benefit the hearing impaired by delivering accessible speech-to-text translation and facial recognition capabilities as implemented through Python.

This website was put together to implement self taught skills in web development.

GitHub Campus Experts enrich the technology communities on their campuses.

Learn Student Ambassadors are a global group of campus leaders who are eager to help fellow students, create robust tech communities and develop technical and career skills for the future.

Doubled member engagement and achieved a 7% increase in student performance for those who sought peer tutoring by promoting the presentation series and weekly peer tutoring sessions for a 50 member organization.

Responsible for the internal affairs and general assembly of the organization by creating an agenda for the topics to be presented on at the weekly meetings.

Selected from a pool of over 100 applicants for a year-long professional development program for high-achieving diverse talent based on leadership potential, ability to contribute to this Engineering Ambassadors cohort, and academic success in STEM.

Collaborated with fellow leaders and residents in order to stimulate community bonding by planning events for a floor of 80 residents, resulting in an 18% increase in engagement from the previous year.

A class rank in the 75th percentile or above in the School of Engineering.

Rank within the upper 25th percentile in the School of Engineering.

Semester grade point average of a 4.0 (without rounding) for the spring and fall semesters of the 2020 calendar year.

Won first place out of over 120 participating Technology Interns in the Travelers UI Olympics with a perfect score in a series of challenges exercising development skills in Angular.

Admitted into membership in IEEE-Eta Kappa Nu in recognition of excellent scholarship and other attainments by which interest and ability in the profession of Electrical and Computer Engineering have been manifested.

Semester grade point average of at least a 3.7 for the spring and fall semesters of the 2019 calendar year.

Demonstrated the ability to innovate on the mainframe by solving real-life situations encountered by experienced systems programmers.

Won Second Place, Best Web App, and the Wolfram Award out of 74 teams in HackUMass VII with a standout web based application.

Admitted into membership in Upsilon Pi Epsilon in recognition of excellent scholarship and other attainments by which interest and ability in the profession of the Computing and Information Disciplines have been manifested.

Awarded to the graduating senior with the highest G.P.A. in Physics, Algebra and either Chemistry or Biology.