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.
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.
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.
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.
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.
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.
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.
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.