Data Science Student @ IIT Madras

Hi, I'm Ritu Raj.

Welcome to my personal portfolio! I am passionate about machine learning, predictive modeling, and uncovering actionable insights from complex data.

View Resume View My Work
Background
About Me
Turning data into insights.

Data Science student at IIT Madras with experience in machine learning, predictive modeling, and data visualization. Skilled in Python, SQL, Excel, and Scikit-learn, with hands-on experience building end-to-end ML pipelines and competing on Kaggle. Seeking a Data Analyst or Data Science internship to apply analytical skills to real-world business problems.

Education
BS in Data Science & Applications
Indian Institute of Technology, Madras (Expected Aug 2027)
  • Completed Foundational Diploma in Programming, 2025
  • CGPA: 7.8 / 10
  • HSBC Scholarship Recipient (2026)
Coursework: Statistics, Machine Learning, Database Management, Data Visualization
Technical Skills

Languages

Python Java SQL

Data & Machine Learning

Pandas NumPy Scikit-learn XGBoost CatBoost LightGBM Matplotlib Seaborn

Web & Databases

Flask SQLAlchemy Vue.js MySQL SQLite

Tools

Git Excel Kaggle Jupyter
Featured Projects
Full-Stack Application
Hospital Management System (HMS)
  • Developed a robust Hospital Management System using Flask, SQLAlchemy 2.0, Vue 3, SQLite, Redis, and JWT Authentication.
  • Implemented secure role-based access control for Admin, Doctor, Patient, and Receptionist portals.
  • Designed comprehensive relational database schema using SQLAlchemy ORM.
  • Integrated Celery and Redis to handle asynchronous background task processing smoothly.
Kaggle Competition
Heavy Equipment Sale Price Prediction
  • Built an advanced regression pipeline to predict used heavy-equipment auction prices.
  • Engineered a log-transformed target with robust target encoding strategies to handle high-cardinality categorical features effectively.
Kaggle Competition
Mushroom Edibility Classification
  • Cleaned and preprocessed complex categorical datasets using various encoding techniques.
  • Evaluated and compared the performance of Logistic Regression, Random Forest, and Gradient Boosting classifiers.
  • Analyzed models using comprehensive metrics including Accuracy, Precision, Recall, F1-score, and Confusion Matrix analysis.
Certifications

Advanced Certificate in Machine Learning and Data Science

Indian Institute of Technology, Madras | January 2026
View Certificate (Drive)

AWS Academy Graduate – Cloud Foundations

Amazon Web Services | May 2026
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