Skip to content
View aditya-datahub's full-sized avatar

Block or report aditya-datahub

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
aditya-datahub/README.md

πŸ’« About Me

πŸ‘‹ Hi, I’m Aditya Sharma
A results-driven Data Analyst skilled in SQL, Python, Power BI & Excel, with growing expertise in Machine Learning (scikit-learn).
I specialize in transforming raw data into clear, actionable insights that support data-driven decision-making.


πŸš€ Featured Projects

πŸ’³ Credit Card Financial Dashboard

  • Developed an interactive Power BI dashboard to analyze credit card performance and financial trends
  • Enabled data-driven insights through KPI visualization
  • Tech Stack: Power BI, SQL
    πŸ”— View Project

🏦 Banking Data Analysis Dashboard

  • Performed end-to-end data analysis on banking datasets using Python
  • Visualized key banking KPIs and trends using charts and dashboards
  • Tech Stack: Python, Pandas, Matplotlib, Jupyter Notebook
    πŸ”— View Project

πŸ“Š Customer Churn Prediction

  • Built a machine learning project to predict customer churn
  • Applied data preprocessing, feature engineering, model training, and evaluation
  • Tech Stack: Python, Pandas, scikit-learn
    πŸ”— View Project

πŸ”§ Core Skills

  • πŸ—„οΈ SQL: Joins, CTEs, Window Functions
  • 🐍 Python: Pandas, NumPy, Data Analysis
  • πŸ“Š Power BI: Dashboards, DAX, Data Storytelling
  • πŸ€– Machine Learning: Classification, Model Evaluation
  • πŸ”Ž End-to-End Analytics: Data Cleaning β†’ Analysis β†’ Insights β†’ Recommendations

🎯 What I’m Looking For

Seeking Data Analyst entry-level or internship roles where I can apply SQL, Python, and BI skills to solve real-world business problems and drive data-informed decisions.


πŸ’» Tech Stack

Programming & Databases:
Python MySQL Postgres Jupyter

Libraries & Tools:
Pandas NumPy Matplotlib scikit-learn Power BI Excel


πŸ“Š GitHub Stats

GitHub Stats

Top Languages


🀝 Let’s Connect

Aspiring Data Analyst passionate about SQL, Python, Power BI, and turning data into impactful insights.


Pinned Loading

  1. Banking-Project-Data-Analysis-Dashboard Banking-Project-Data-Analysis-Dashboard Public

    End-to-end banking data analysis project, transforming raw data into clear, actionable metrics. Analysis built in Jupyter Notebooks (Python) and visualized via a compelling Power BI dashboard.

    Jupyter Notebook 1

  2. credit-card-financial-dashboard credit-card-financial-dashboard Public

    A comprehensive Credit Card Financial Dashboard for visualizing and analyzing credit card transactions and financial trends. This project provides interactive charts and insights to help users unde…

    1

  3. Customer-Churn-Prediction-Project Customer-Churn-Prediction-Project Public

    A machine learning project to predict customer churn. This repository contains the code for data preprocessing, model training, evaluation, and analysis to identify customers likely to leave a serv…

    Jupyter Notebook 1

  4. zepto-sql-analysis zepto-sql-analysis Public

    Analyzing Zepto's operational data using SQL to uncover key business insights related to pricing, discounts, revenue estimation, and inventory management.

  5. hospital-operations-efficiency-analysis hospital-operations-efficiency-analysis Public

    End-to-end data analytics project analyzing hospital resource utilization and identifying operational bottlenecks using Python, SQL, and Power BI.

    Jupyter Notebook 1

  6. city-size-vs-restaurant-success city-size-vs-restaurant-success Public

    Data analysis project examining how city size impacts restaurant success using Zomato and city population datasets.

    Jupyter Notebook