Computer Science Machine Learning

Fatima Begum Fayha

Oviedo, Florida *****

602-***-**** # ***********@*****.*** ï fatimafayha § fatimafayha Education

University of Central Florida Aug 2022 – May 2024

Master of Science Computer Science Orlando, Florida

• Computer Architecture, Machine Learning, Design and Analysis of Algorithms, Computer Security Osmania University Aug 2018 – May 2022

Bachelor of Science - Computer Science Telangana, India

• Distributed Systems, Cloud Computing, Database Management, Operating Systems, Data Structures Technical Skills

Languages: Python, Java Script, Typescript C, C++, Java, HTML, CSS, SQL Frameworks: React, Redux, Springboot

Developer Tools: Docker, Git, Jupyter Notebook, Jira, Bitbucket, Jenkins, Confluence Databases: Oracle, MongoDB, Firebase

Technologies: FrontEnd, Backend, Full-Stack, DataScience Experience

ADP(Automatic Data Processing) May 2023 – August 2023 Application Developer Intern Alpharetta, Georgia

Spearheaded the creation and seamless integration of a cache-clearing feature into the platform’s interface.

Optimized System’s performance and ensured real-time data accuracy, thereby reducing dependency on the standard 24-hour cache refresh cycle.

Engaged in Agile practices, contributing to sprint planning and daily stand-ups for high quality deliverables.

Tech Stack : Typescript, Javascript, React, Redux, Jenkins, Java, Springboot, Springboot Microservices, REST API, Jira, Bitbucket, Confluence, Agile Methodology.

University of Central Florida Aug 2022 – Current

Graduate Teaching Assistant Orlando, Florida

Managing 500+ undergraduate students for the CourseWork- Object Oriented Programming with Java.

Assisted in grading assignments, conducting office hours for doubt assistance, tutoring and providing consistent feedback and personal instruction to students on an as-needed basis. Projects

Simulator C April 2023

Developed a cache simulator featuring advanced cache replacement policies, including Least Recently Used (LRU), First-In-First-Out (FIFO), and optimal, while also employing two data-driven prefetching techniques, namely sequential and stride, resulting in a 0.1 reduction in miss rates for both L1 and L2 caches. Music Recommendation System Python, Spotipy API, Jupyter Notebook Feb 2023

Developed a music recommendation system using K-means clustering and Spotify’s dataset, effectively categorizing genres into ten clusters based on audio features.

Utilized the Spotipy API to access and query Spotify’s catalog, enhancing user experience with personalized music recommendations and improving engagement.

Marked HTML, CSS, React, Javascript Dec 2022

Developed a Chrome browser extension with timestamp bookmarking functionality for YouTube videos using API integration, allowing users to conveniently save and return to specific points in videos for an improved viewing experience. Beyond the Curriculum

Micron Global Women Mentorship Program

A six-week mentorship program organized by Micron Technology to help mentees gain industry-level knowledge, improve their skills, and gain a better understanding of the professional world. One among the top 250 candidates selected globally.

Communities

IamRemarkable - A Google initiative Facilitator

Rewriting The Code RTC Fellow

AnitaB Organisation Attended Grace Hopper Conference in Sept ’23

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