Mannat Mehrotra

I’m a motivated Computer Science student with experience in machine learning, data analytics, and web development. I enjoy turning messy data and real problems into clear insights, usable features, and measurable outcomes.

In my projects, I’ve built a deep learning-based Mental Health Monitoring platform using CNN-based facial analysis for emotion and stress detection, and I’m integrating practical tools like doctor discovery, consultations, and medication tracking. I also worked on Credit Card Fraud Detection, training a Random Forest model on an imbalanced dataset, using EDA and correlation analysis, and validating performance with precision, recall, F1-score, and MCC to reduce false positives.

For analytics, I developed an Uber Trip Analysis Dashboard with Power BI and Excel, using Power Query data cleaning and DAX-based KPIs to track ride demand, revenue trends, and customer behavior. I’ve also created a E-Commerce Sales Dashboard in Power BI and Tableau with interactive visualizations and Top-N filters to highlight high-value customers and top-performing regions.

I’m continuously strengthening my engineering foundation through coursework like Artificial Intelligence, DBMS, and Statistics, plus credentials such as the AWS Cloud Practitioner Certification and multiple data/BI learning experiences. I’m looking to apply my technical and problem-solving skills while gaining industry experience and contributing to innovative projects.