About Me

Passionate about transforming raw data into actionable insights that drive innovation and business growth.

Shekhar working on data science projects

Who I Am

I'm a dedicated Data Scientist currently pursuing my M.Sc in Statistics at IIT Kanpur, with a strong foundation built through my BA(Hons) in Statistics from Banaras Hindu University. My journey in data science is driven by curiosity and a passion for uncovering patterns in complex datasets.

With hands-on experience in machine learning, statistical analysis, and data visualization, I've developed projects ranging from predictive modeling to recommendation systems. I specialize in Python, R, and various ML frameworks, always staying current with the latest developments in AI and data science.

Beyond academics, I actively participate in data science communities, contribute to open-source projects, and continuously expand my knowledge through practical applications and research. My goal is to leverage data science to solve real-world problems and create meaningful impact.

M.Sc Statistics at IIT Kanpur
Python & R Programming
Machine Learning & AI

My Journey

2021 - 2024
BA(Hons) Statistics
Banaras Hindu University (Varanasi) - Built strong foundation in statistical theory, probability, and data analysis techniques.
2024 - Present
M.Sc Statistics
Indian Institute of Technology Kanpur - Advancing expertise in statistical modeling, machine learning, and data science applications.

Projects

Showcasing my work in machine learning, data analysis, and predictive modeling across various domains.

Skills & Technologies

A comprehensive overview of my technical expertise and proficiency levels across various domains.

Certifications

Professional certifications demonstrating expertise in data science, machine learning, and related technologies.

Relevant Courses

Academic coursework that has shaped my expertise in statistics, machine learning, and data science.

🚀 Real ML Algorithm Showcase

Upload your CSV data and train real machine learning models! Compare Random Forest, SVM, XGBoost, and more algorithms with comprehensive metrics analysis.

Upload Your Dataset

Drag & drop your CSV file here or click to browse

Configuration

Hold Ctrl (Windows) or Cmd (Mac) to select multiple columns.

Choose Algorithms

Random Forest

Ensemble learning method

SVM

Support Vector Machine

XGBoost

Gradient boosting

Logistic Regression

Linear classifier

K-NN

K-Nearest Neighbors

Naive Bayes

Probabilistic classifier

Decision Tree

Tree-based model

Gradient Boosting

Sequential ensemble

Real ML Pipeline
No algorithms selected
Live Console Output
🚀 Real ML Algorithm Showcase Ready! 📋 Instructions: 1. Upload your CSV dataset (max 16MB) 2. Select target column from dropdown 3. Choose one or more ML algorithms 4. Configure parameters as needed 5. Train single algorithm or compare multiple 💡 Supported Features: • Automatic data preprocessing • Missing value handling • Categorical encoding • Feature scaling • Real model training • Performance metrics • Feature importance • Cross-validation 🎯 Available Algorithms: • Random Forest: Excellent general-purpose • SVM: Great for high-dimensional data • XGBoost: State-of-the-art boosting • Logistic Regression: Simple & interpretable • K-NN: Instance-based learning • Naive Bayes: Fast probabilistic • Decision Tree: Highly interpretable • Gradient Boosting: Powerful ensemble Ready to train real models! 🎉

Let's Connect

Ready to collaborate on exciting data science projects or discuss opportunities? I'd love to hear from you!

Location

Indian Institute of Technology Kanpur
Kanpur, Uttar Pradesh, India

Email

s.sumanpathak513@gmail.com

Phone

+91 70047 99656