Manpreet Pabla

Entry-level role in data analysis, AI-driven applications, and full-stack development

Greater Noida, UP, India

Profile Score

About

Motivated Computer Science graduate with strong experience across data analysis, AI-driven applications, and full-stack development. Seeking an entry-level role where I can leverage analytical thinking, software engineering fundamentals, and hands-on project work to build scalable, reliable, and user-focused solutions while continuously learning and contributing to team success.

Skills & Expertise (20)

Python Advanced

8.1/10

Years Exp

JavaScript Intermediate

7.3/10

Years Exp

React.js Intermediate

7.1/10

Years Exp

Node.js Intermediate

6.9/10

Years Exp

Typescript Intermediate

6.6/10

Years Exp

Android Development Cursor Copilot GitHub Postman MySql Expo MongoDb Supabase Express.js R C++ C Java Php

Work Experience

Software Engineering Intern

Vividh Packaging Industries

May 2024 - Jul 2024

Developed a desktop-based inventory management system using Python, Tkinter, and Pandas. Reduced stock errors by 30% and improved restocking efficiency. Designed a simple UI for non-technical staff and provided onboarding documentation.

Teaching Instructor

Shrishti Coaching

Jun 2022 - Nov 2022

Taught Computer Science and Mathematics to Class 11 and 12 students. Prepared lesson plans and simplified complex topics for better understanding. Guided students with assignments and problem-solving techniques.

Data Analyst

Coozmoo Digital Solutions

Jul 2024 - Jul 2025

Analyzed, cleaned, and interpreted datasets to identify trends, patterns, and actionable business insights. Prepared structured reports, dashboards, and summaries to support data-driven decision-making. Collaborated with cross-functional teams by delivering accurate analytical insights aligned with business requirements. Demonstrated adaptability, professionalism, and a cooperative approach while contributing to team and organizational objectives.

AI Product Intern

Sharda University

Aug 2025 - Nov 2025

Built an AI tutoring platform with live D-ID avatars and GPT-4 integration, enabling real-time video conversations for 1,000+ users. Developed auto-generated educational diagrams using DALL·E 3 based on query context, improving learning comprehension by ~40%. Implemented TensorFlow.js-based emotion detection for adaptive student interventions, reducing dropout rates by 35%. Integrated Monaco Code Editor with Judge0 API for Python practice, handling 50+ daily submissions with automated evaluation. Deployed the platform on Vercel with Supabase backend, achieving 99.9% uptime and sub-100ms response times.