**MAHAD NADEEM**
Junior Developer

**CONTACT**
+92-3132244542
mahad.nadeem66@gmail.com
Karachi, Pakistan
LinkedIn: linkedin.com/in/mahad-nadeem

**CERTIFICATIONS**
Contour Bootcamp (MERN)
Machine Learning (Neduet)

**SKILLS**
- Java
- Python (Machine Learning)
- MySQL
- React, Node.js, Express
- AWS (Lambda, EC2, S3)

**PROFILE**
Passionate developer skilled in the MERN stack (MongoDB, Express.js, React.js, Node.js), focused on building efficient and responsive web applications. Experienced in creating RESTful APIs, integrating third-party services, and securing systems through user authentication. Proficient in Java (Spring Boot, JPA), Python, and R Studio for machine learning projects. Collaborative work style with strong problem-solving abilities and a drive to deliver innovative, scalable solutions.

**WORK EXPERIENCE**
**IT-RETINA | Junior Developer (2023–Present)**
- Developed TMMS, a dynamic single-page Trademark Management System using Angular and Node.js with RESTful APIs and optimized SQL queries in PostgreSQL/MySQL.
- Built DotFoods full-stack application using Java (Spring Boot) and React with TypeScript, implementing MCS architecture and DTOs for clean, modular, and scalable code.
- Created sales prediction models (KNN, Decision Tree, Random Forest) in Python, with Random Forest achieving the highest accuracy on a Kaggle dataset.
- Implemented Gradient Boosting Regressor for sales forecasting using Scikit-learn and hyperparameter tuning.
- Engineered Vetro/CrowdFiber integration middleware using Node.js on AWS Lambda to automate data flow and transformation into PostgreSQL.
- Built Salesforce integration in Java via AWS Lambda, securing and streamlining data synchronization with PostgreSQL backend.
- Integrated JIRA tools to enhance project management and real-time issue tracking.
- Utilized DBeaver for advanced database management, writing optimized SQL queries.

**EDUCATION**
**Master of Computer Science**
Sir Syed University (Expected 2025)

**Bachelor in Actuarial Science & Risk Management**
University of Karachi (2018)

**GITHUB LINKS**
- Pizza App: github.com/mahad-debug/pizza_app
- Sales Prediction (KNN, Decision Tree, Random Forest): github.com/mahad-debug/sale_prediction
- Gradient Boost Algorithm: github.com/mahad-debug/gradient-boost-algorithm
- JPA Spring Boot: github.com/mahad-debug/JPA-springboot

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