Sireesha Sambarapu
MERN DEVELOPER
Rajahmundry
Summary
Detail-oriented team player with strong organizational skills seeking a challenging career within a progressive organization. Experienced Web Developer passionate about creating attractive and interactive websites that exceed customer expectations. Expertise in developing custom WordPress themes and plugins, as well as excelling in HTML, CSS, JavaScript, and React library development. Able to effectively handle multiple projects simultaneously, ensuring a high level of accuracy.
Overview
7
7
years of post-secondary education
4
4
Certifications
2
2
Languages
Work History
Intern
Amaravathi Software Innovations
Rajahmundry
03.2025 - 06.2025
- Company Overview: The Blog App project is a professional online showcase highlighting skills and achievements, aiming to create a visually appealing platform for individuals to express themselves through writing.
- The Blog App project is a professional online showcase highlighting skills and achievements, aiming to create a visually appealing platform for individuals to express themselves through writing.
- Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
Education
Intermediate - MPC
Sri Chaitanya Junior College
Rajahmundry 06.2017 - 06.2019
Bachelor of Science - MPCS
Rajamahendri College For Women
Rajahmundry 07.2019 - 08.2022
Master of Computer Applications - Computer Applications Development
International School of Business For Women
Rajahmundry, India 09.2022 - 07.2024
Skills
- C PROGRAMMING LANGUAGE
- JAVA
- DSA
- SQL
- HTML
- CSS
- BOOTSTRAP
- JAVASCRIPT
- JSON
- REACTJS
- NODEJS
Certification
C programming language
Interests
Knowing upcoming Challenging Technology
Volunteering
WORKSHOP
- Workshop on Ethical Hacking, Participated in a Workshop on Ethical Hacking for Spypro Security Solutions Pvt Ltd.
- Workshop on Cloud Computing, Participated in a Workshop on Cloud Computing for IBM.
PROJECT
Credit card fraud detection using unsupervised learning:
Credit Card Fraud Detection using Unsupervised Learning involves identifying fraudulent transactions without labeled data. Unlike supervised learning, where models learn from examples of fraudulent and non-fraudulent transactions, unsupervised learning models analyze patterns and anomalies in the data to detect unusual behaviors.
Timeline
Intern
Amaravathi Software Innovations
03.2025 - 06.2025
MERN Developer,Geekster
03-2025
JAVA,Oracle Academy Java for AP Computer Science
09-2024
HTML and CSS - Udemy
08-2024
C programming language
06-2023
Master of Computer Applications - Computer Applications Development
International School of Business For Women
09.2022 - 07.2024
Bachelor of Science - MPCS
Rajamahendri College For Women
07.2019 - 08.2022
Intermediate - MPC
Sri Chaitanya Junior College
06.2017 - 06.2019
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