Machine Learning Computer Science

AASRITHA BHIMISETTY

(She/Her)

Jersey city, ***** ********@****.*** 201-***-**** www.linkedin.com/in/aasritha-bhimisetty-16b6342ab https://github.com/Aasritha2306

SUMMARY

Highly motivated and results-oriented Master of Science in Computer Science candidate (May 2025) at Pace University with a strong foundation in software development, machine learning, and database management. Proven ability to lead teams, manage projects, and deliver innovative solutions. Seeking an entry-level position in the IT industry to leverage technical skills and contribute to challenging projects.

EDUCATION

Pace University, Seidenberg School of Computer Science and Information Systems New York, NY Master Of Science (MS) in Computer Science GPA: 3.89 May 2025 Usha Rama College Of Engineering And Technology Andhra Pradesh, India Bachelor of Technology (BTECH) in Computer Science GPA: 3.19 May 2023 TECHNICAL SKILLS

Programming Languages : C/C++, Python, Java, HTML,CSS, JavaScript, rusty knowledge of Angular JS Database / Tools : MySQL, Visual Studio Code, GitHub Operating Systems : Windows, Linux

ACADEMIC PROJECTS

Tune Therapy ( https://github.com/Aasritha2306/Tune-Therapy/tree/main ) FEB 2024 – MAY 2024

• Led a team of four in developing a user-friendly Android application using Kotlin in Android Studio to provide users with curated music playlists for wellness based on different genres. Aero – Insight ( https://github.com/Aasritha2306/Aero-Insight ) FEB 2024 – MAY 2024

• Collected and structured flight data to enable users to find and book flights based on their specific requirements. Implemented and visualized various machine-learning algorithms for flight data analysis. Election Automation Analysis ( https://github.com/Aasritha2306/Election-Automation-Analysis ) FEB 2024 - MAY 2025

• Developed a Python-based application to analyze and visualize election data, providing accurate and reliable results for a local congressional election.

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Price Forecasting Of A Used Car Using Machine Learning SEP 2022 – MAY 2023

• Collaborated with a team of four to build an application that provides the perfect price for outworn cars using machine learning algorithms like random forest and regression algorithms.

• Created a home page using HTML, CSS, and Python Flask where the user can check the outworn car price by entering the user inputs as details of the car.

Photographer Studio SEP 2023 - DEC 2023

Collaborated with a team of three to design and implement a database using MySQL for a photography studio, managing client events, photographer assignments, and contracts.

Publications

Price Fore Casting Of Used Cars Using Machine Learning APRIL 2023

• I authored a research paper titled "Price Forecasting Of Used Cars Using Machine Learning," published in the International Journal of Analytical and Experimental Modal Analysis (IJEMA) Issue IV, April/2023. Certifications / Internships

• Cyber Security Virtual Internship – Palo Alto Networks OCT 2021 – DEC 2021

• AI-ML Virtual Internship – Amazon Web Services (AWS) MAR 2022 – MAY 2022

• Process Mining Virtual Internship – Celonis Jul 2022 – SEP 2022

• Big Data Certification provided by IBM NOV 2023

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