Joy Justin J

[email protected] +91 93455 78962
LinkedIn: https://www.linkedin.com/in/joy-justin-j-360b1b2bb GitHub: https://github.com/JoyJustinJ

PROFESSIONAL SUMMARY

Artificial Intelligence and Data Science undergraduate with hands-on experience in full-stack web and mobile application development, data analytics, and machine learning. Proficient in React.js, React Native, Python, SQL, Firebase, Power BI, and Git, with experience building scalable applications, interactive dashboards, and data-driven solutions through academic and client-based projects. Strong foundation in software engineering, database management, data visualization, and problem-solving, with a passion for developing efficient, user-centric applications and continuously learning emerging technologies.

WORK EXPERIENCE

Application Developer
05/2026 - 07/2026
Santhosh Lifestyle
Designed and developed a business management application using React Native and Firebase.
Implemented billing, customer management, inventory tracking, and order management modules.
Data Analytics Intern
03/2024 - 05/2024
NSIC , On-site
Performed data cleaning, transformation, and analysis using Microsoft Excel and Power BI.
Developed interactive dashboards and reports to visualize KPIs and business insights.
Utilized Power Query, Pivot Tables, Charts, and DAX to prepare and analyze datasets.

EDUCATION

B.Tech in Artificial Intelligence and Data Science(Pursuing)
08/2023 - 04/2027
PSV College of Engineering and Technology GPA: 8.4/10

SKILLS

Technical Skills: Java, Python, JavaScript, TypeScript, SQL, React.js, React Native, Machine Learning, DAX
Soft Skills: Communication, Leadership, Critical Thinking, Problem Solving, Time Management
Tools: Visual Studio Code, Android Studio, GitHub, Figma, Microsoft Excel, Power BI Desktop
Other: Full-Stack Development, Software Development Life Cycle (SDLC), Database Management

PROJECTS

VASTRA – Fashion Mobile Application 🔗
Technologies: React Native, Firebase
Developed a cross-platform mobile application for a fashion retail business using React Native and Firebase.
Implemented authentication, product catalog, order tracking, and cloud database integration.
Real-Time Hand Gesture Recognition System 🔗
Technologies: Python, OpenCV
Built a computer vision system capable of recognizing hand gestures in real time.
Optimized detection accuracy under varying lighting conditions while reducing inference latency.
Deep Fake Detection System
Technologies: Python, Deep Learning
Developed a CNN-based image classification model to identify manipulated media with improved preprocessing techniques.

CERTIFICATIONS

Microsoft Power BI Fundamentals
Full Stack Web Development
Data Analytics

ACHIEVEMENTS

Developed and delivered production-ready software solutions for real-world business requirements.
Participated in various Hackathons and built various working prototypes within 30 hours.
Maintains 20+ public GitHub repositories covering full-stack development, mobile applications, machine learning, and data analytics.

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