Geethika T
Irving,TX
Summary
Motivated Entry-Level Software Engineer eager to contribute to dynamic projects in a collaborative environment.
Dedicated to leveraging foundational programming skills to design, develop, and maintain innovative software
solutions. Seeking to join a team where I can grow and enhance my technical proficiency while making meaningful
contributions to the organization
Overview
6
6
years of professional experience
1
1
Certification
Work History
Volunteer
National Social Services
03.2018 - 07.2024
- Assisted with special events and programs.
- Supported engaging, fun, and smooth-running events by helping with organization and planning.
- Used strong interpersonal communication skills to convey information to others.
Tutor
Karthikeyan Educational Trust
08.2018 - 08.2022
- As a Teaching Assistant at Karthikeyan Educational Trust, I facilitated lively discussions, troubleshooted code, and created a cooperative learning atmosphere for Python.
- I provided advice on programming, ensuring students' success and supporting the trust's commitment to high education standards.
Intern
Take Off
06.2020 - 12.2021
- Developed SDLC project templates, enhanced execution, and facilitated JAD sessions.
- Created comprehensive reports for consumer insights using SQL and Excel, and utilized PowerBI dashboards for evidence-based decision making.
Education
Master of Science - Computer And Information Sciences
Texas A&M University - Commerce
Commerce, TX05.2024
Bachelor of Science - Computer of Science
Sree Vidyanikethan Engineering College
Tirupathi07.2022
Skills
- Python
- SQL
- JAVA
- C
- C
- Software Development
- Development Methodologies
- Software Testing
- Linux
- Teamwork and Collaboration
- Leadership Qualities
Certification
Amazon Certified Cloud Practitioner | May - 2022
Oracle Certified Foundations Associate | Feb - 2022
Languages
English
Telugu
Hindi
Projects
Detection Of Liver Disease Using Feature Selection 2023 - 2024
The Project’s Primary goal is to improve accuracy and decrease detection time for Liver Disease using feature
selection methods. For this binary classification problem, CNN with adam optimizer is used to enhance the
performance of the model. A software named ILDC is developed, and the model is deployed in it.
Predicting Stock Market Trends using Machine Learning and Deep
Learning 2021 - 2022
This project aims to enhance stock market prediction accuracy by employing AI algorithms, comparing various
machine learning and deep learning models. Metrics based evaluation methods are employed to assess each
prediction model, culminating in the creation of a market trend prediction model leveraging periodic inputs and
machine learning algorithms.
Timeline
Intern
Take Off
06.2020 - 12.2021
Tutor
Karthikeyan Educational Trust
08.2018 - 08.2022
Volunteer
National Social Services
03.2018 - 07.2024
Master of Science - Computer And Information Sciences
Texas A&M University - Commerce
Bachelor of Science - Computer of Science
Sree Vidyanikethan Engineering College
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