Vishal Deep's Profile Picture
VISHAL DEEP
AI & Data Science Developer | MERN Stack | Predictive Analytics
+91-7999829540 vishalyep1022@gmail.com linkedin.com/in/vishal-deep-14a864255 github.com/VishalDeep1377
Portfolio: vishaldeep1377.github.io/hey_portfolio

About Me

Passionate and results-driven BCA graduate with hands-on experience in Data Science, Full-Stack Web Development (MERN Stack), and AI-powered project development. Proven track record of delivering impactful solutions through internships at Prodigy Infotech and CodSoft, with a strong foundation in Python, Machine Learning, JavaScript, and cloud-integrated IoT systems. Successfully led and developed full-scale projects like FreakyFit (AI Fitness App) and Code to Career (AI Learning Platform), showcasing abilities in end-to-end product development, predictive analytics, and scalable system architecture. Highly adaptable with a keen interest in technology innovation, continuous learning, and real-world problem-solving.

Work Experience

Internshala
05/2025 - 07/2025
Data Science Intern (Prodigy Infotech)
  • Performed data preprocessing, EDA, and built ML models for real-world datasets (Titanic, Bank, Twitter)
  • Conducted sentiment analysis using NLP libraries like NLTK and visualized insights with WordCloud and Seaborn
  • Developed classification and regression models using Decision Trees, Random Forests, and Logistic Regression
  • Documented tasks in Jupyter Notebooks and maintained code on GitHub
  • View my work on LinkedIn →
Codsoft
Data Science
  • Worked on real-world machine learning projects involving data preprocessing, visualization, model building, and evaluation
  • Gained hands-on experience in Python, Scikit-learn, Pandas, Matplotlib, and Seaborn
  • Evaluated models using metrics like Accuracy, R² Score, Confusion Matrix, and MSE
  • Utilized GitHub for version control and professional project showcasing
  • View my work on LinkedIn →
Corizo
05/2023 - 07/2023
Sales Intern – EdTech Domain
  • Promoted EdTech programs to 500+ students across India, achieving a 15% conversion rate
  • Enhanced negotiation skills through direct client interactions, contributing to a 20% increase in quarterly sales

Skills

Programming Languages: C, C++, HTML/CSS, JavaScript, PHP, Python, R, SQL, TypeScript
Frameworks & Libraries: Bootstrap, Express.js, Matplotlib/Seaborn, Next.js, Node.js, NumPy, Pandas, React.js, Scikit-learn
Tools & Platforms: Arduino IDE, Git/GitHub, IoT (ESP32, Raspberry Pi), MongoDB, MySQL, Power BI, REST APIs, Tableau, VS Code, XAMPP
Concepts: AIML, CRUD Operations, DBMS, DSA (Data Structures & Algorithms), IoT
Soft Skills: Adaptability, Problem-Solving, Project Management, Team Collaboration, Time Management

Education

Bachelor of Computer Applications in Data Science
Lovely Professional University Punjab
  • GPA: 8.0
  • 08/2022 - 05/2025
Intermediate in Commerce
Kendriya Vidyalaya No. 1, Dhanbad
  • GPA: 81%
  • 04/2021 - 03/2022

Certifications

  • Full-Stack Development: MERN Stack
  • Data Science & Machine Learning
  • PHP Crash Course
  • IoT & Embedded Systems
  • Data Science Internship
  • Webathon Participant
  • Front-End Development (HTML, CSS, JavaScript)
  • ChatGPT Advanced Usage
  • Python Programming
  • Community Development & Social Welfare Training
View all certifications on LinkedIn →

Projects

Code to Career (MERN Stack)
Developed a full-stack web application to bridge the gap between coding skills and career opportunities
  • Integrated features such as course recommendations, resume building, and interview preparation
React React
Node.js Node.js
MongoDB MongoDB
TypeScript TypeScript
👥 500+ Active Users
⭐ 4.8/5 Rating
🚀 99.9% Uptime
View live project →
FreakyFit – AI Health & Fitness App
Designed an AI-driven fitness app providing personalized workout and meal plans
  • Implemented AI chatbot for fitness guidance and live video sessions with trainers
React React
Python Python
TensorFlow TensorFlow
Firebase Firebase
👥 1000+ Active Users
⭐ 4.9/5 Rating
🤖 95% AI Accuracy
View live project →
Smart Car Parking and Irrigation System
IoT-based solutions for urban and agricultural applications
  • Car parking system using ESP32, Arduino, IR sensors
  • Smart irrigation system using Raspberry Pi with soil moisture sensors
Arduino Arduino
Raspberry Pi Raspberry Pi
C++ C++
Python Python
🎯 95% Detection Accuracy
💧 40% Water Savings
⚡ Real-time Monitoring
PHP Employee Management System
Developed a dynamic web-based employee management system
PHP PHP
MySQL MySQL
HTML5 HTML5
CSS3 CSS3
📊 Complete CRUD Operations
🔒 Secure Authentication
📱 Responsive Design

Key Achievements

AI-Powered Project Development
Successfully developed and deployed two full-scale AI applications (FreakyFit and Code to Career) with over 1000+ active users
Data Science Excellence
Achieved 90%+ accuracy in predictive modeling during Prodigy Infotech internship, implementing advanced ML algorithms
IoT Innovation
Designed and implemented smart systems for urban and agricultural applications using ESP32 and Raspberry Pi

Professional Journey

May 2025 - July 2025
Data Science Intern at Prodigy Infotech
Led data analysis projects achieving 90%+ accuracy in predictive modeling. Implemented advanced ML algorithms and conducted comprehensive EDA on real-world datasets.
2024 - Present
FreakyFit AI Development
Developed and launched AI-powered fitness app with 1000+ active users. Implemented ML models for personalized workout recommendations.
2024
Code to Career Platform
Created full-stack learning platform with AI integration. Achieved 4.8/5 user rating and 500+ active users.
2023
IoT Innovation Projects
Developed smart systems for urban and agricultural applications using ESP32 and Raspberry Pi.