DIVYAA THAIVALAPPIL

Dynamic and detail-oriented computer science professional with hands-on experience in full-stack development, UI design, and software engineering. Proficient in C++, JavaScript, Python, and PHP, with strong frontend expertise in Angular and React. Skilled in creating intuitive interfaces using Figma, HTML, CSS, and experienced in working with SQL and MongoDB for efficient data management. Adept at building user-centric applications through academic projects using MERN, Django, and Python. Known for strong teamwork, leadership, and creative problem-solving through roles in GDSC and various technical communities. Committed to applying technical strengths to deliver impactful, scalable solutions in collaborative environments.

• Won the second prize for technical paper presentation department level
• Graphics head at Google Developer’s Student’s Club Sakec

Recruitment Portal, VESP , Chembur, August 2021- Jul 2022, 

Team size: 4 members, 

Objective was to create an user-friendly recruitment portal to simplify hiring tasks, find potential candidates, and ensure smooth communication among team members.

Technology used: HTML, PHP,JAVASCRIPT, JQUERY, CSS,SQL, 

Attendance System with face detection, SAKEC , Chembur, Feb 2023- April 2023, 

Team size: 3 members, 

Objective was to create face recognition based attendance management system that reduces the manual labor of marking attendance.

Technology used: PYTHON, 

Library Management , Chembur, Feb 2023- April 2023, 

Team size: 3 members, 

Objectives was to create an intuitive library management portal to efficiently organize book collections, facilitate borrowing procedures, and foster seamless interaction between library administrators and patrons.

Technology used: DJANGO, SQL, PYTHON, 

College ERP System, Chembur, August 2023- November 2023, 

Team size: 4 members,

Objective was to create an ERP system for the college to be able to monitor the student’s progress and interact with the professors with ease.

Technology used: MERN Stack

Machine Learning Driven Predictive Modeling for Pipe Corrosion Detection, September 2024- May 2025,

Team Size: 4 Members

Objective was to create a predictive machine learning system that automatically detects and classifies metal pipeline corrosions through image data.

Technology used: Python (CNN, VGG16)

• National Service Scheme, Volunteer- Went to villages and got surveys of their education and income status, Did skits to spread awareness about the importance of education, 5 MONTHS
• UMEED - A Drop Of Hope (NGO), Social service department: worked to develop more ideas to help farmers, Collected Donations for various projects like ‘Project Knowledge for All’, ‘Project Go Green’, ‘Project Chhaya’, ‘Project Paridhan’., Also came up with many ideas to implement in the NGO to help people in need as well as the environment and animals., 1 MONTH

Technical paper on Recruitment Portal (IEEE) (May 2022)

• Figma workshop, Organised by CSI, Held at Shah and anchor college, Feb 2024: Figma workshop, got knowledge about basics of figma, learned to create a design for a website
• Django workshop, Organised by CSI, Held at Shah and anchor college, Mar 2023: learned basics of Django, how to install and run Django, how to make projects on Django
• Web Development bootcamp, Organised by IIC, Held online, Feb 2023: Got practical knowledge about css, html, javascript
• AIML bootcamp, Organised by IIC, Held online, Feb 2023: Got knowledge about python packages, learned how to implement Natural Language Processing (NLP), machine learning, data visualization in python

• Member of CSI (Computer society of India) (Sep 2019 – July 2022)
• Graphics Head, Google Student Developer’s Club, SAKEC (August 2023- present)
• Graphics team member, Alumini Association, Sakec (Aug 2023-December 2023)
• Volunteer in NSS (National Service Scheme), VESP (Aug 2019- Feb 2020)