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Contemplation
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Blladerunner/README.md

👋 Hi, I'm Rufus (aka Rufat)

Data Analyst | BI Analyst Turning raw data into structured insights and business-driven decisions.

📊 About Me

I am a Data Analyst focused on transforming data into actionable insights through structured analysis and clear visualization.

I have completed:

  • 🎓 Google Data Analytics Professional Certificate
  • 📊 Microsoft Power BI Certification

My core expertise includes:

  • SQL (joins, CTEs, window functions)
  • Power BI (DAX, measures, calculated columns, star schema)
  • Data modeling & KPI reporting
  • Data cleaning and transformation
  • Python (Pandas, Matplotlib)

I enjoy working with structured datasets, identifying trends, and building dashboards that support business decision-making.

Currently seeking a Junior Data Analyst / BI Analyst role.

📈 Featured Analytics Projects

  • 📺 Netflix EDA — user behavior analysis to derive product & content insights
    Python · Pandas · Data Visualization

  • 📈 YouTube Trending Analysis — trend discovery and performance metrics
    Python · Pandas · Matplotlib

  • 🛒 Superstore Analytics — business metrics, profitability, and dashboard logic
    SQL · Excel · Power BI

  • 💳 Credit Card Fraud Detection — data exploration & feature reasoning
    Python · Data Analysis

🛠️ Tech Stack

Data & BI

  • SQL (joins, CTEs, Window Functions)
  • Python (Pandas, Matplotlib)
  • Excel (Pivot Tables, Advanced Formulas)
  • Power BI (DAX, Data Modeling, Star Schema)

Concepts

  • KPI Analysis
  • Data Cleaning
  • ETL Logic
  • Business Intelligence Reporting
  • Dashboard Optimization

🎯 Focus Areas

  • Business Intelligence
  • Performance Analysis
  • Reporting Automation
  • Data-Driven Decision Making

🌍 Let’s Connect

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  1. netflix-eda-project netflix-eda-project Public

    Exploratory Data Analysis (EDA) of the Netflix Movies and TV Shows dataset using Python, pandas, matplotlib, and seaborn.

    Jupyter Notebook 2

  2. superstore-sql-analysis superstore-sql-analysis Public

    SQL analysis on Sample Superstore (SQLite)

    1

  3. chinook-sql-analysis chinook-sql-analysis Public

    SQL analysis on the Chinook (SQLite) dataset: revenue trends, top customers, genres, RFM, cohorts.

    1

  4. sales-analysis-pandas sales-analysis-pandas Public

    Exploratory Data Analysis (EDA) of retail sales using Python (pandas, matplotlib, seaborn). Includes data cleaning, visualizations, and business insights.

    Jupyter Notebook 1

  5. coffee_chain_analysis coffee_chain_analysis Public

    Exploratory Data Analysis of a Coffee Chain dataset using Python (pandas, matplotlib, seaborn).

    Jupyter Notebook 1

  6. customer_segmentation_rfm_analysis customer_segmentation_rfm_analysis Public

    Customer segmentation using the RFM model. Identifies loyal, at-risk and lost customers; includes visuals and actionable business insights.

    Jupyter Notebook 1