Ankit Saluja | Portfolio

About Me

Hello! I'm Ankit Saluja, a passionate and driven individual with a curious mind and a hunger for creativity. I blend the analytical mindset of a Data Scientist with the expressive energy of a Video Editor.

Currently pursuing my M.S. in Mathematics at IIT Kanpur, I'm dedicated to exploring the intersection of mathematics, data science, and creative storytelling. My journey is one of continuous learning, where I transform complex data into meaningful insights and craft compelling visual narratives.

Whether it's decoding complex problems, exploring cutting-edge technologies, or creating engaging content, I'm always up for a challenge. I believe in making an impact through innovation, creativity, and the power of data-driven decision making.

My Journey

Carmel Convent Sr. Sec. School

2019 – 2021

Completed 10th and 12th with a strong foundation in mathematics and science, building curiosity and discipline that would shape my academic journey.

B.S. Mathematics

2021 – 2024

Graduated from Delhi University with a Bachelor's in Mathematics, gaining deep analytical and theoretical skills that form the foundation of my data science expertise.

M.S. Mathematics at IIT Kanpur

2024 – 2026

Currently pursuing M.S. Mathematics at IIT Kanpur, focusing on advanced topics like statistics and optimization. Preparing for a career in Data Science by blending mathematical theory with real-world applications.

Featured Projects

Diabetes Prediction Using ML

Advanced machine learning model to predict diabetes using medical attributes. Features comprehensive data preprocessing, multiple algorithms comparison, and interactive web interface.

Code Live Demo

T20 Cricket Prediction 2024

Intelligent prediction system for T20 Cricket matches using team statistics and performance analytics. Demonstrates advanced feature engineering and model optimization.

Code Live Demo

Music Recommender System

Personalized music recommendation engine using cosine similarity and audio feature analysis. Built with advanced ML algorithms and intuitive user interface.

Code Live Demo

Email Spam Classifier

Sophisticated NLP-powered spam detection system using advanced machine learning techniques. Features text preprocessing, vectorization, and high-accuracy classification.

Code Live Demo

Netflix Churn Prediction

Deep learning model using Artificial Neural Networks to predict customer churn. Analyzes user behavior patterns and provides actionable insights for retention strategies.

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Facial Emotion Detection

Facial Emotion Detection leverages advanced CNN models to accurately analyze facial features and classify emotions, enabling impactful applications in AI-driven interaction, sentiment analysis, and user experience enhancement.

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Medical Cost Insurance Prediction

This project leverages deep learning to forecast medical expenses from demographic, lifestyle, and health data, capturing complex patterns for precise predictions that enhance insurance pricing strategies and empower informed healthcare planning.

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Customer Segmentation

The Customer Segmentation Project uses advanced analytics to group customers based on behavior and preferences. This enables targeted marketing and personalized experiences. The approach helps optimize business strategies and improve customer satisfaction.

Code Live Demo