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AyyushDobhal/README.md

AYUSH DOBHAL

DATA ANALYST

Turning Data into Better Business Decisions.


🥷 About Me

I'm a Data Analyst focused on transforming raw data into meaningful business insights.

I enjoy understanding how businesses operate, exploring datasets, identifying trends, and helping answer important business questions through data.

My projects combine Python, SQL, Power BI, Excel, and data visualization to solve practical business problems and communicate findings clearly.


⚙ Tech Stack

Programming

Data Analysis

Visualization

Tools


📁 Business Case Studies

Real-world analytics projects built around business questions, data, and decisions.


👥 Supply-Chain-Delivery-Analysis

Power BI analysis of supply chain and delivery performance, covering order trends, shipping efficiency, late deliveries, geographic performance, and operational insights.

📈 Retail-Sales-Analysis

Analyzing sales performance, customer purchasing patterns, and key business KPIs to identify trends and opportunities.

🛒 Ecommerce-Customer-Behavior-Analysis

Analyzing customer purchasing behaviour to understand customer segments, repeat purchases, product preferences, and customer value.

⚙️ Operations-SLA-Tracker

An Excel-based Operations MIS dashboard built to track ticket volumes, SLA performance, turnaround time, priorities, agents, and regional performance.


📊 GitHub Analytics

Building, learning, and analyzing one project at a time.


Ayush Dobhal GitHub Statistics


Ayush Dobhal GitHub Streak


💭 My Approach

I believe data creates value only when it leads to better business decisions.

Every project starts with understanding the business problem, followed by cleaning and preparing the data, exploring patterns, uncovering insights, and ending with practical recommendations.


🤝 Let's Connect


"Every dataset tells a story. My goal is to uncover it."

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  1. Supply-Chain-Delivery-Analysis Supply-Chain-Delivery-Analysis Public

    Power BI analysis of supply chain and delivery performance, covering order trends, shipping efficiency, late deliveries, geographic performance, and operational insights.

  2. ECommerce-Customer-Behavior-Analysis ECommerce-Customer-Behavior-Analysis Public

    End-to-End E-Commerce Customer Behavior Analysis using SQL Server and Power BI

    TSQL

  3. Retail-Sales-Analysis-Python Retail-Sales-Analysis-Python Public

    End-to-end retail sales analysis using Python, Pandas, NumPy, Matplotlib, and Seaborn to uncover actionable business insights.

    Jupyter Notebook

  4. Google-Play-Store-Data-Analysis Google-Play-Store-Data-Analysis Public

    Exploratory Data Analysis (EDA) of the Google Play Store dataset using Python, Pandas, Matplotlib, and Seaborn to uncover app trends, ratings, installs, and business insights.

    Jupyter Notebook

  5. Operations-SLA-Tracker Operations-SLA-Tracker Public

    A self-built Excel MIS project simulating real ops reporting — from messy raw data to a management-ready SLA dashboard.