Summary
Overview
Education
Skills
Websites
Certification
Languages
Projects
Timeline
Generic

Hemil Garala

Summary

I am a Computer Engineering student from LJKU, Ahmedabad. Technology excites me and I am always in awe of the change it drives in the world. Certain skills that I have worked with includes Data Structures (Java), Data Visualization (Python) Database designing (MySQL and PostgreSQL) bit Basics of AI and ML. And what I might lack in skills I make up for with my determination to learn. Outside of tech, I am a sports person and a automobile enthusiast and have a deep knowledge in automobiles

Overview

1
1
Certification

Education

Computer science and engineering - Computer Science

LJ University
07.2026

Skills

  • Python (Libraries: pandas, numpy, matplotlib, scikit-learn, seaborn)
  • Database (MySQL and PosrgreSQL)
  • Framework (Express JS, Bootstrap4, Bootstrap5, Tailwind)
  • Backend (Node JS)
  • Organized and Efficient
  • Positive Attitude
  • Teamwork and Collaboration
  • Public Speaking

Certification

  • What is Data Science?
  • Introduction to Java
  • Database Design and Basic SQL in PostgreSQL
  • HTML, CSS, and Javascript for Web Developers
  • Inheritance and Data Structures in Java

Languages

English
Advanced (C1)
Hindi
Advanced (C1)
Gujarati
Advanced (C1)
French
Elementary (A2)

Projects

Budget Tracker

Developed a budget tracker application with a user-friendly GUI to efficiently manage and track personal finances. The tool allows users to input, categorize, and analyze expenses, providing clear visual insights into their spending habits.

  • Utilized Tkinter to design an intuitive and user-friendly graphical user interface (GUI) for seamless navigation and efficient data input in the budget tracker application.
  • Incorporated Matplotlib to generate insightful visualizations, such as graphs and charts, allowing users to analyze their expenses and income trends with ease.

Virtual Mouse

This project enables controlling the laptop's mouse using hand gestures through computer vision techniques, offering a seamless and intuitive interaction experience.

  • Implemented OpenCV for real-time hand tracking and gesture recognition, leveraging its robust computer vision capabilities to accurately detect and track the user's hand movements.
  • Integrated MediaPipe library to access pre-trained machine learning models for hand landmarks detection, enabling precise localization of key points on the user's hand for gesture interpretation.
  • Utilized PyAutoGUI for virtual mouse control, translating hand gestures detected by OpenCV and MediaPipe into corresponding mouse movements and clicks on the laptop screen, providing seamless interaction without physical hardware.

Timeline

Computer science and engineering - Computer Science

LJ University
Hemil Garala