Summary
Overview
Work History
Education
Skills
Projects
Timeline
Generic

SEJAL RANI

DEKALB,IL

Summary

Highly motivated, Hardworking ,Passionate Computer Science Graduate with strong technical and communication skills seeking to leverage academic training and hands-on experience in software development, data analysis, and machine learning to contribute effectively to innovative projects in the tech industry. Actively seeking opportunities that are going to be stepping stones for professional growth and collaboration in a dynamic and intellectually stimulating environment.

Overview

1
1
year of professional experience

Work History

Graduate Assistant

NIU Dining Services
01.2023 - Current

Worked as Graduate Staff Assistant at NIU Campus Dining Services ,where my key responsibilities involved monitoring, managing and training student workers, work collaboratively with 15+ dining staff members to ensure smooth operation of dining facility, including coordinating tasks and providing support as needed.

Education

Master of Science - COMPUTER SCIENCE

Northern Illinois University
Dekalb, IL
05.2024

Bachelor of Science - Mathematics And Computer Science

Annie Besant Women's College, Osmania University
Hyderabad, Telangana, India
07.2021

Skills

  • Programming Languages: Java, Python, C, C, JavaScript
  • Databases: SQL, MySQL, PSQL
  • Libraries: NumPy, Pandas, Matplotlib, Scikit, Keras
  • Web Technologies: AngularJS, jQuery, ReactJS
  • Tools and Platforms: Git, VS Code, IntelliJ ,Eclipse, jupyter Notebook, PyCharm

Projects

Students Alumni Portal

Developed an application that provides opportunity to students for interacting with seniors of the college. With the help of this mini platform, students could interact with each other via messages, upload prof.ile details and post queries. Java was the programming language .Used HTML,CSS for web presentation and JDBC for database Connectivity.


Breast Cancer Diagnosis using Machine Learning   

Applied my learnings of programming and data analysis for breast cancer diagnosis working on Wisconsin Breast Cancer Dataset. Developed a machine learning model leveraging Python and libraries like TensorFlow and scikit-learn to analyze mammography data. We employed a range of machine learning algorithms like KNN, Naïve Bayes, Perceptron and Decision Trees and tested their accuracy. Neural Networks algorithm was the most efficient one with 98% test accuracy.

Timeline

Graduate Assistant

NIU Dining Services
01.2023 - Current

Master of Science - COMPUTER SCIENCE

Northern Illinois University

Bachelor of Science - Mathematics And Computer Science

Annie Besant Women's College, Osmania University
SEJAL RANI