Motivated Data Scientist and Web Developer with practical experience in Python, machine learning, deep learning, and full-stack web development. Skilled in designing and implementing AI-driven solutions and developing dynamic, user-focused web applications. Passionate about leveraging data and technology to solve real-world problems and deliver measurable impact. Strong communicator and collaborative team player, dedicated to continuous learning and professional growth.
Developing a multi-tenant medical clinic web platform where clinics, doctors, and patients interact seamlessly. Implemented authentication, appointment scheduling, and AI-powered health consultation features using Laravel, React, and Docker.
Built and trained multiple machine learning models for prediction and sentiment analysis. Worked with Python, TensorFlow, and Scikit-learn to enhance model accuracy and performance across diverse datasets.
Created multiple projects integrating AI models into modern web applications, exploring advanced fields like natural language processing, predictive analytics, and web automation using React and Laravel.
As a passionate AI and web developer, I specialize in combining modern web technologies with artificial intelligence to create powerful, efficient, and user-centered digital experiences. My focus is on crafting clean, scalable applications that merge functionality, performance, and smart automation.
Building responsive, high-performance web platforms using React.js and Laravel. I focus on clean architecture, smooth user experiences, and efficient backend logic that supports real-world functionality.
Designing and training machine learning models using Python, TensorFlow, and Scikit-learn. Integrating AI features such as prediction, classification, and chatbots into web applications for intelligent automation.
Applying data-driven approaches to extract insights and make informed decisions. Experienced in data preprocessing, visualization, and model evaluation using real-world datasets from Kaggle and beyond.
Creating secure and scalable RESTful APIs to connect frontend and backend systems. Experienced in authentication, database management, and API testing using Laravel Sanctum and Postman.
Skilled in deploying web applications using Docker, VPS servers, and services like Render, Netlify, and Vercel. Focused on performance optimization and CI/CD workflow setup.
Designing clean, modern, and user-friendly interfaces using Figma and front-end frameworks like Tailwind CSS and Bootstrap. Prioritizing usability and accessibility in every project.
Developed a multi-tenant web platform connecting clinics, doctors, and patients. Implemented appointment management, medical records, and authentication systems using Laravel (PHP) and React.js. The entire system was containerized with Docker for scalability and consistency.
Built and optimized a CNN model using TensorFlow and Keras to classify images into binary categories. Applied data augmentation, dropout, and hyperparameter tuning to enhance accuracy and reduce overfitting.
Predicted individual income levels using structured Kaggle data. Trained traditional models like Logistic Regression and Random Forest, and experimented with ANN (TensorFlow) for deep learning. Evaluated models using accuracy, F1-score, and visualizations such as confusion matrices.
Built a predictive model using Scikit-learn to forecast student outcomes based on hours studied, past performance, and lifestyle factors. Applied Linear Regression and Random Forest with data visualization using Matplotlib and Seaborn for insights.