Professional Summary

Analytical and inquisitive B.Tech CSE graduate specialized in data science and ML. Strong foundation in statistics, Python, and model building. Eager to contribute as a Data Scientist by building scalable ML solutions from data collection to deployment.

Education

Vellore Institute of Technology, Chennai

CGPA: 9.1/10

Technical Skills

Academic Projects

• 1. Stock Price Predictor

  • Built LSTM-based model to predict stock trends using historical data.
  • Achieved 87% accuracy on validation data.
  • Visualized trends with Matplotlib and Plotly.

• 2. Diabetes Prediction System

  • Created ML model using Random Forest to predict diabetes likelihood.
  • Conducted EDA to find key features like glucose and BMI.

• 3. Resume Classifier using NLP

  • Applied TF-IDF and Naive Bayes to classify resumes by domain.
  • Automated resume sorting with 78% accuracy.

• 4. Movie Recommendation System

  • Used collaborative filtering for movie suggestions.
  • Built using Surprise library and deployed with Flask.

• 5. Weather Forecast App

  • Scraped and processed data to forecast 7-day weather.
  • Visual dashboard created using Power BI.

Internship Experience

TCS iON

• Built ML pipeline for classification tasks on customer churn data.
• Automated feature selection to reduce dimensionality.
• Presented insights to stakeholders using Tableau dashboards.

Certifications & Online Courses

• Machine Learning – Andrew Ng (Coursera)
• Data Analysis with Python – IBM (edX)
• Tableau Desktop Specialist – Tableau

Extracurricular Activities / Leadership

• Organizer, DataFest’23
• Core Member, Women Who Code – VIT Chapter

Achievements & Awards

• Top 5% scorer on HackerRank Python Challenge.
• Published paper in IEEE Student Conference (ML in Healthcare).