Hi, I'mMuhammad Raiyan
Transforming complex data into actionable insights and building intelligent systems that solve real-world problems. Specializing in machine learning, data analysis, and full-stack development.
About Me
I'm a passionate data scientist and machine learning engineer with expertise in building intelligent systems and extracting insights from complex datasets. My background in computer science combined with specialized knowledge in data and computational science allows me to tackle challenging problems with innovative solutions.
Machine Learning
Building predictive models and AI solutions using cutting-edge algorithms and techniques to solve complex problems.
Data Science
Transforming raw data into actionable insights through statistical analysis, visualization, and data-driven storytelling.
Full Stack Development
Creating end-to-end applications with modern frameworks and technologies, from database design to user interfaces.
Data Analysis
Extracting meaningful patterns from complex datasets to drive business decisions and optimize processes.
My Journey
My journey in data science began during my undergraduate studies at SRM Institute of Science and Technology, where I developed a strong foundation in computer science and engineering. My passion for data-driven decision making led me to specialize in machine learning and data analysis, which I've applied in various professional settings.
Currently, I'm working as a Data Analyst Intern at Corefield Technologies, where I analyze large datasets and build dashboards to drive business insights. My previous experience as a Machine Learning Intern at AICTE Eduskill Foundation allowed me to develop predictive models and recommendation systems that improved student performance.
I'm pursuing a Master's in Data and Computational Science at University College Dublin to further enhance my expertise in advanced data science techniques and computational methods. My goal is to leverage data science and machine learning to create impactful solutions that address real-world challenges.
Technical Skills
I've developed a diverse set of technical skills throughout my academic and professional journey, specializing in data science, machine learning, and full-stack development.
Data Analysis
- Exploratory Data Analysis
- Statistical Modeling
- Data Cleaning & Preprocessing
- Feature Engineering
ML & AI
- Supervised & Unsupervised Learning
- Deep Learning & Neural Networks
- NLP & Computer Vision
- Model Deployment & MLOps
Data Engineering
- Database Design & Optimization
- ETL Pipelines
- Data Warehousing
- Big Data Technologies
Featured Projects
Explore my portfolio of data science, machine learning, and full-stack development projects. Each project demonstrates different aspects of my technical expertise and problem-solving approach.
Quantum ArXiv Topic Trend Analysis
Analyzes arXiv papers to uncover topic trends in quantum machine learning using NLP and LDA. Built with Python, NLTK, Gensim, and Matplotlib.
Key Features:
- Built a topic modeling pipeline to analyze 2,000+ arXiv abstracts on quantum machine learning.
- Utilized Natural Language Processing (NLP) and Latent Dirichlet Allocation (LDA) to identify research trends.
- Designed custom visualizations to illustrate topic distributions and evolution.
- Identified emerging research areas, providing insights into quantum machine learning advancements.
Expense Tracking & Analytics
Full-stack expense management system using MERN Stack with interactive dashboards for visualizing spending patterns. Integrated data analytics using Python to provide personalized financial insights.
Key Features:
- Real-time financial tracking and visualization
- Personalized spending insights with Python analytics
- Secure authentication and data protection
- Responsive design for mobile and desktop
BlockAuth
BlockCheck is a fake product identification system built using Blockchain Technology. The project leverages Solidity, Ethereum, Truffle, and Ganache to provide a secure and transparent method for verifying product authenticity, ensuring that users can easily identify counterfeit products.
Key Features:
- Developed a decentralized fake product identification system using Ethereum blockchain, ensuring product authenticity.
- Designed and deployed smart contracts in Solidity to securely store and verify product provenance.
- Built a React.js frontend for real-time product verification using unique blockchain-based identifiers.
- Utilized Truffle & Ganache for smart contract development, testing, and local blockchain simulation.
Care IAS
Care IAS is a UPSC coaching institute based in Aligarh. This is the official website, built using Next.js and Tailwind CSS. I manage the complete technical stack and deployment.
Key Features:
- Developed a responsive and SEO-optimized frontend using Next.js and Tailwind CSS to showcase institute services and updates.
- Integrated dynamic routes and reusable components for streamlined content management and future scalability.
- Deployed on Vercel with a custom domain and secure HTTPS configuration for fast global access.
- Designed intuitive navigation and call-to-actions for enrollment, login, and contact workflows, ready for backend integration.
Resume
My professional journey, education, and certifications that have shaped my career in data science and machine learning.
Download ResumeData Analyst Intern
Corefield Technologies | Gurugram, Haryana
Working with large datasets to extract insights and enhance decision-making efficiency.
Key Responsibilities:
- Analyzing large datasets using SQL, Python (Pandas, NumPy) to extract insights, enhancing decision-making efficiency.
- Contributing to building dashboards in Tableau/Power BI, reducing manual reporting time by 30%.
- Assisting in developing machine learning models for predictive analytics, improving trend forecasting accuracy by 20%.
- Contributing to data preprocessing and feature engineering using Scikit-Learn, improving model accuracy.
- Conducting exploratory data analysis (EDA) on sales trends, identifying key patterns that supported pricing strategies.
Machine Learning Intern
AICTE Eduskill Foundation | Remote, India
Developed predictive models and recommendation systems to improve student performance and engagement.
Key Responsibilities:
- Developed a student performance prediction model using Python, Scikit-learn, and NLP, achieving 80% prediction accuracy on test data.
- Developed a recommendation system for personalized learning paths, improving student engagement by 20%.
- Preprocessed 500K+ data points, handling missing values and normalizing datasets, leading to a 15% improvement in model accuracy.
- Applied basic Natural Language Processing (NLP) techniques to optimize text-based interactions on the platform.
- Collaborated with senior engineers to test and refine models, gaining hands-on experience in real-world machine learning applications.
Technical Skills Summary
Programming Languages
JavaScript, Python, C/C++, SQL (PostgreSQL), HTML/CSS, R
Data Science & Machine Learning
Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Matplotlib, Seaborn
Databases & Big Data
PostgreSQL, MongoDB, MySQL, Firebase
Cloud & Deployment
Google Cloud, Docker, Flask, FastAPI
Data Visualization & BI Tools
Power BI, Tableau, Plotly, Chart.js
Web & Software Development
React.js, Next.js, Node.js, Redux, Express.js, REST APIs
Get In Touch
Have a project in mind or want to discuss potential opportunities? Feel free to reach out to me using the contact form below or through my social media channels.