LAKSHAY GARG

Aspiring Data Scientist | AI/ML Engineer | Full-Stack Developer
1602/Z Prahalad Puri Colony Near ITI, 135001, Yamunanagar, IN.

About

Highly motivated Computer Science student (GPA: 8.07) with a passion for data, AI, and full-stack development. A problem solver and quick learner, skilled in building end-to-end web applications, automating workflows, and applying predictive modelling to tackle complex challenges. Experienced in AI-driven systems, data visualization, and productivity tools, with a strong focus on delivering impactful, data-driven insights, interactive dashboards, and health platforms. Seeking to apply robust technical skills in data analysis, machine learning, or web development to contribute to innovative teams and drive measurable impact.

Education

VIT Bhopal University
Sehore, Madhya Pradesh, India

Bachelor

Computer Science Bachelors in Technology

Grade: GPA: 8.10

S D Public School
Jagadhri, Haryana, India

High School

PCM CBSE XII

Grade: Percentage: 81.8%

Delhi Public School
Yamunanagar, Haryana, India

High School

Class X

Grade: Percentage: 94.6%

Awards

AWS AI & ML Scholarship Recipient

Awarded By

AWS / Udacity

Selected among 1,500 learners globally for the prestigious AWS/Udacity Machine Learning Nanodegree, valued at $4000.

Certificates

AWS Academy Graduate - AWS Academy Cloud Foundations

Issued By

AWS

MERN Full Stack Certification

Issued By

ETHNUS

AWS Solutions Architect

Issued By

ETHNUS

Cloud Computing

Issued By

NPTEL

Bits and Bytes of Computer Networking-Google

Issued By

Coursera

Marketing Analytics

Issued By

NPTEL

Introducing Generative AI with AWS

Issued By

Udacity- In partnership with AWS

Skills

Programming Languages

Java, Python, JavaScript, HTML5, CSS.

Web Development

React, Node.js, Express.js, Next.js, TailwindCSS, Vercel, Front-end Development, Back-end Development.

Data Analysis & Machine Learning

Power BI, Excel, Tableau, Python (Data Analysis), MATLAB, Data Analysis, Predictive Modeling, Demand Forecasting, Inventory Optimization, Machine Learning, Marketing Analytics.

AI & Automation Tools

n8n, APIs, AI Tools, ChatGPT, Claude, Gemini, Perplexity, Workflow Automation.

Cloud Platforms & Databases

AWS, Firebase, MySQL, MongoDB.

Development & Collaboration Tools

Git, Postman, Figma, Canva, Microsoft Office, Replit.

Projects

Empathetic Code Reviewer-Python

Summary

A sophisticated AI-powered system that transforms harsh code review comments into empathetic, educational guidance that builds developer confidence while teaching best practices—all contained within a single, comprehensive Jupyter notebook.

TaskFlow – Productivity Web App

Summary

A modern productivity app combining to-do lists, Google Calendar sync, and Pomodoro timers to help users stay organized and focused. Built with React, Convex, Tailwind, and Framer Motion for a responsive, real-time, and animated user experience.

PawFinds-Pet Adoption and Care Platform

Summary

A comprehensive Pet Adoption and Care Platform allowing pet owners to adopt pets, track and monitor their health. Built using Next.js it features a comprehensive dashboard allowing pet owners to track the health of their pets and adopt them

Zomato Restaurants Data Dashboard

Summary

Built a comprehensive Power BI dashboard to analyze Zomato restaurant data across 15 countries, 141 cities, and 250 cuisines—covering over 9,500 restaurants, 1M+ votes, and average rating metrics. The dashboard delivers insights into restaurant distribution, cuisine popularity, service availability (online delivery & table booking), and top-rated brands

Workflow Automation for Business Insights

Summary

Automated workflows using n8n, APIs, and AI tools for data gathering and reporting.

Healthverse

Summary

Built and deployed a responsive health and wellness platform.

Supply Chain Management System

Summary

Developed an AI-driven system to predict demand, inventory requirements, and supply chain risks using historical sales, logistics, and external factors. Built interactive dashboards for real-time monitoring and forecasting, enabling data-driven decisions, reduced stock-outs, and optimized resource allocation. Implemented using Python, ML models (regression & time-series), Streamlit and data visualization tools.

Interests

Geo-Politics
Travelling
Photography
Lawn-Tennis
Automobiles
Camping

Languages

English

Fluent

Hindi

Native

French

Basic