Thanks to visit codestin.com
Credit goes to github.com

Skip to content
View Ahadxcode's full-sized avatar

Block or report Ahadxcode

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
Ahadxcode/README.md

πŸ‘‹ Hi, I'm Ahad Khan

πŸš€ Aspiring Data Analyst | Python β€’ Microsoft Azure β€’ SQL β€’ Power BI β€’ Tableau β€’ Advanced Excel Passionate about uncovering insights through data exploration, visualization, and storytelling β€” turning raw data into actionable business decisions.


πŸ’Ό About Me

  • πŸŽ“ B.Tech in Electrical & Electronics Engineering (Amity University, 2025)
  • πŸ“Š CGPA: 8.8 / 10
  • πŸ› οΈ Experienced with SQL Server Management Studio (SSMS), ETL pipelines, Python, Advanced Excel, Power BI, Tableau, and Machine Learning algorithms
  • πŸ“Š Skilled in data cleaning, preprocessing, analysis, visualization, and predictive modeling
  • 🀝 Active in communities: IEEE AUUP Vice Chair, IEEE YP, WIE, Superconductivity Council

πŸ”₯ Featured Projects

βš™οΈ Churn Analysis

-End-to-end churn analysis using SQL Server Management Studio (SSMS 21), Power BI, and Python. -Performed ETL, data cleaning, and preprocessing in SQL Server. -Built interactive dashboards in Power BI with DAX measures for churn trends and KPIs. -Conducted EDA and predictive modeling in Python using Random Forest Classifier.

Delivered insights to identify at-risk customers and support data-driven retention strategies.

  • Dockerized Python app with a Jenkins pipeline for CI/CD automation.
  • Demonstrates DevOps skills in containerization and pipeline integration.

πŸ› οΈ Tech Stack

Languages: Python, C++ SQL Data Tools: Pandas, NumPy, Advanced Excel, Databases: MySQL, MongoDB , Postgre SQL Cloud & DevOps:

OS & Admin: Linux basics


πŸ“œ Certifications

  • βœ… Python for Data Science
  • βœ… Machine Learning – From Basics to Advanced
  • βœ… Introduction to Generative AI for Data Analysis

🌐 Connect With Me


⭐ β€œAlways curious, always building.”

Pinned Loading

  1. Churn-Analysis-Project Churn-Analysis-Project Public

    End-to-end churn analysis project using SQL Server (ETL, Data Cleaning), Power BI (Dashboard), and Python (EDA & ML).

    Jupyter Notebook

  2. Google-Ads-SQL-Analysis- Google-Ads-SQL-Analysis- Public

    ## Overview This project analyzes ad campaign performance using **SQL queries**: - CTR (Click-through rate) by campaign - ROI by campaign - Conversion rate by region & device - CPC & CPA by device

  3. Autoencoder Autoencoder Public

    This project implements a **Convolutional Autoencoder** using TensorFlow/Keras to perform **image compression and reconstruction** on the MNIST handwritten digits dataset.

    Python