Welcome to my GitHub! I'm a Full Stack Web Developer and Data Scientist with experience in machine learning, web development, and software engineering.

Full Stack Web Developer
City, University of London (March 2024 – Present)

• Developing a tablet-based app using React Native and Firebase for the eCARLI Project, aimed at assessing word understanding in toddlers.
• Leading the development of a prototype with a dynamic assessment methodology.

Software Engineer
MakeMyTrip (July 2022 – August 2023)

• Led end-to-end development using Java, Spring Boot, and React for scalable and feature-rich services.
• Played a key role in migrating to microservices architecture using gRPC, reducing latency by 35%.
• Optimized application performance, resulting in a 40% increase in business revenue.

Software Engineer Intern
Scaler Academy (Jan 2022 – June 2022)

• Developed web applications with Ruby on Rails and React.
• Managed SQL databases and developed RESTful APIs to ensure efficient data handling.

Master’s in Data Science
City, University of London (2023 – Present)
Bachelor in Technology (Computer Science)
Guru Gobind Singh Indraprastha University (2019 – 2022)
Diploma in Computer Engineering
Jamia Millia Islamia (2016 – 2019)

• Fake News Prediction
  Developed a machine learning model using Random Forest achieving 95.16% accuracy. Utilized TF-IDF vectorization on the WELFake dataset to improve model performance.

• Spotify Song Success Prediction
  Leveraged Random Forest and Logistic Regression models to predict song popularity based on audio features and artist metrics, achieving superior accuracy with Random Forest.

• E-Commerce Web Application
  Developed a secure, user-friendly e-commerce platform using Spring Boot and Java, with features like user authentication, shopping cart, and a comprehensive product catalog.

• Languages: Python, Java, Ruby, C/C++, SQL, JavaScript, HTML/CSS
• Frameworks: Ruby on Rails, Spring Boot, React, Typescript, Node.js
• Developer Tools: Git, AWS, VS Code, Visual Studio, IntelliJ, Eclipse, Tableau
• Libraries: Pandas, Data Analysis, Machine Learning, NLP, Big Data, Neural Computing, Information Retrieval

• Awarded Global STEM Leadership Scholarship for Masters in the UK.
• Secured a Global Rank of 326 in Scaler Codex Coding Competition.
• Hosted two Android applications on Google Play Store with 100+ downloads.

• Email: mohdarif8299@gmail.com
• LinkedIn: linkedin.com/in/mohdarif8299
• GitHub: github.com/mohdarif8299

Thanks for visiting my profile! Feel free to explore my repositories and connect with me.