100% Free Free Rank Your Site Faster — Get a Quality Backlink Today
Get Started
Sushil Kumar
GitHub

Sushil Kumar

@su1sh2il

View GitHub Profile

About

Python | SQL | Machine Learning | Power BI | Pandas | NumPy | Matplotlib | Seaborn Aspiring Data Scientist & AI/ML Enthusiast

Location Kharagpur, West Bengal, India
Company IIT Kharagpur
Followers 1
Following 2
Public Repositories 10
Expertise

Skills & Technologies

Jupyter Notebook HTML
GitHub Work

Projects & Repositories

Recent public projects and repositories from this profile.

Cat-vs-Dog-Image-Classification-Using-CNN

Jupyter Notebook

No project description available.

⭐ 0 Forks: 0
Jupyter Notebook View Project

Customer-Churn-Prediction-End-to-End-ML-Analysis

Jupyter Notebook

End-to-end telecom customer churn prediction with ML, model benchmarking, hyperparameter tuning, threshold optimization, and SMOTE.

⭐ 0 Forks: 0
Jupyter Notebook View Project

House-Price-Prediction

Jupyter Notebook

🏠 End-to-end machine learning project for predicting house prices using data preprocessing, feature engineering, and ensemble learning models.

⭐ 1 Forks: 0
Jupyter Notebook View Project

Titanic-Survival-Prediction-using-Machine-Learning-Pipelines

Jupyter Notebook

Built an end-to-end Machine Learning pipeline to predict Titanic passenger survival using data preprocessing, feature engineering, and classification models with Scikit-Learn.

⭐ 0 Forks: 0
Jupyter Notebook View Project

Tech-Stock-Market-Analysis-Trend-Detection

Jupyter Notebook

This project performs exploratory data analysis (EDA) and financial trend analysis on major technology stocks using historical market data from 2019–2024. The analysis focuses on identifying stock performance trends, market volatility, trading volume behavior, sector correlations, and investment insights using Python-based data analytics techniques

⭐ 0 Forks: 0
Jupyter Notebook View Project

Customer_Behavior_and_Sales_Analytics_Dashboard

HTML

Analyzed customer purchase data using Python, SQL, and Power BI to uncover trends, segment customers, and generate actionable business insights.

⭐ 0 Forks: 0