HI, I'M Gaurav
Every dataset tells a story
I help uncover insights
that truly matter 🙂
About Me
Hey, I’m Gaurav.
I’m drawn to patterns, discipline, and stories whether they emerge from complex information or quiet moments of curiosity. I enjoy exploring ideas, asking better questions, and shaping clarity from chaos. Learning and growth sit at the center of how I work, and I’m always refining my thinking, experimenting with new tools, and finding better ways to turn insight into impact through thoughtful storytelling.
Outside of work, I bring the same focus and curiosity into my personal world. Training at the gym keeps me grounded and disciplined, while anime and PC gaming fuel my imagination through immersive worlds, characters, and challenges. Both influence how I approach problems with consistency, curiosity, and a drive to improve a little every day.
My philosophy:
Always grinding. Always growing.
Skills & Expertise
Machine Learning
Building predictive and intelligent systems using structured and unstructured data.
Data Science
Turning raw data into insights through analysis, modeling, and storytelling.
Data Analysis
Extracting trends and insights to support data-driven business decisions.
Frontend Development
Designing and developing responsive, elegant, and user-friendly interfaces.
My Work
Breast Cancer data prediction (KNN)
Analyzing KNN Distance Metrics on the Diagnostic Wisconsin Breast Cancer Dataset
Feature Scaling in SVR
Support Vector Regression rely on distance metrics. If your features are on different scales, some dominate others distorting the model’s view of the data.
Heart Failure Patient Analytics Dashboard
This project presents an interactive healthcare analytics dashboard built in Power BI, using the Kaggle Heart Failure Clinical Records dataset.
Staad.pro Load Combination Generator
This tool helps structural engineers define load cases, subcases, coefficients, and automatically generate all valid load combinations with proper numbering.
Prediction of Concrete Compressive Strength (XGBoost)
Predicting concrete compressive strength based on mix components allows engineers to optimize material usage, reduce cost, and ensure structural reliability. (Gradient boosting with k=10 fold cross-validation)
Prediction of Concrete Compressive Strength (Linear Regression)
Predicting concrete compressive strength based on mix components allows engineers to optimize material usage, reduce cost, and ensure structural reliability.
Get in Touch
Have a project in mind or just want to say hello? I'd love to hear from you. Feel free to reach out through any of the channels below.