Bhupendra Shivhare

📘 Welcome to my GitHub profile! Sharing my learning path, skills, and tech interests.

This repository contains my SQL practice exercises solved on Kaggle, covering both standard SQL and Google BigQuery SQL.

Linux, Git, Docker foundations for MLOps

This repository showcases my daily hands-on practice in data analysis, visualization, and statistics using Python. Each day focuses on mastering libraries like Pandas, NumPy, Seaborn, Matplotlib, Plotly, and SciPy through real-world problems.

This repository contains my **Python practice sets** based on **Kaggle Python exercises**. I already have a working knowledge of Python, and this repository is used purely for **regular practice, revision, and sharpening problem‑solving skills** through hands-on exercises.

This repository contains my Machine Learning practice exercises solved on Kaggle.

This project builds an end-to-end Machine Learning model to predict whether a loan application will be Approved or Not Approved based on applicant financial information. The goal is to support data-driven loan approval decisions while balancing business risk and customer satisfaction.

A collection of SQL queries and insights analyzing employee and department data, showcasing aggregation, joins, window functions, and real-world business problem solving.

This project analyzes music trends across different genres and artists using Excel. It explores how features like Energy, Danceability, and Loudness relate to a song’s Popularity. The goal is to demonstrate advanced Excel data analysis skills through pivot tables, formulas, charts, and an interactive dashboard.

Analyzing product defects to identify trends and root causes, predicting repair costs using machine learning, and visualizing insights through interactive Power BI dashboards to support data-driven quality improvements

SAL_BW_Project– Analyzing Job description data to derive meaningful insights.

End-to-end machine learning project to predict customer churn for a telecom company using Python, EDA, Logistic Regression, and Random Forest.

This project analyzes global COVID-19 data using BigQuery SQL and visualizes insights in Power BI dashboards. It covers trends in cases, deaths, vaccinations, and healthcare capacity across countries and continents.

End-to-end Business Analyst project on Superstore dataset using SQL and Excel. Includes dashboards, SQL queries, insights, recommendations, and BA documentation (BRD, FRD, User Stories).

This project demonstrates the use of professional Excel formatting techniques to enhance data presentation and enforce input standards. It includes structured tasks on conditional formatting, data validation, and custom number formats, aimed at improving report readability and analytical clarity using a retail sales dataset.

This project uses a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset into 10 categories such as airplanes, cars, cats, dogs, etc.

Practical Excel project using core functions like SUM, IF, AVERAGE, CONCAT, IFERROR and ETC for data analysis.