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 spanning full-stack software development and data analytics. Skilled in building scalable web and mobile applications using React.js, React Native, Firebase, and SQL, as well as performing data cleaning, analysis, and visualization using Python, Microsoft Excel, and Power BI. Proficient in the Software Development Life Cycle (SDLC), database management, dashboard development, and version control with Git and GitHub. Experienced in translating business requirements into functional applications and data-driven insights, with strong analytical thinking, attention to detail, and problem-solving skills. Seeking to apply a dual foundation in software engineering and data analytics as a Data Analyst or Full Stack Developer.

WORK EXPERIENCE

Application Developer
05/2026 - 07/2026
Santhosh Lifestyle
Designed and developed a full-stack business management application using React Native, JavaScript, and Firebase, supporting core retail operations.
Built and integrated billing, customer management, inventory tracking, and order management modules, improving operational efficiency.
Collaborated using Git and GitHub for version control across the development lifecycle (SDLC).
Data Analytics Intern
03/2024 - 05/2024
NSIC , On-site
Performed data cleaning, transformation, and exploratory data analysis on business datasets using Microsoft Excel and Power BI.
Developed interactive Power BI dashboards and reports to visualize KPIs, enabling data-driven business decisions.
Applied Power Query, Pivot Tables, DAX, and Charts to prepare, model, and analyze structured data.

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

PROJECTS

VASTRA – Fashion Mobile Application
Technologies: React Native, Firebase, JavaScript
Developed a cross-platform mobile application for a fashion retail business using React Native and Firebase.
Implemented user authentication, product catalog, order tracking, and cloud database integration.
Real-Time Hand Gesture Recognition System
Technologies: Python, OpenCV, Machine Learning
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, Data Preprocessing
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

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