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Arshad289/README.md

Hi there, I'm Arshad👋

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📊 Data Scientist | Business Analytics | SQL & Python Enthusiast

Data Scientist with Finance Domain Expertise | MS Business Analytics (3.9 GPA) | Building production-quality data pipelines and analytical solutions. Former Financial Operations Analyst at ADP and Dell Technologies with 4+ years of experience translating business problems into data-driven insights.

🔭 Featured Projects

🔍 Credit Card Fraud Detection

Analyzed 1.3M+ transactions to identify fraud patterns using SQL and Python

  • Discovered 3× higher fraud rates during late-night hours
  • Built geographic anomaly detection using the Haversine formula

Tech: SQL PostgreSQL Python Pandas

🎵 Spotify Music Recommendation Engine

Built a recommender for 114K+ Spotify tracks using ML clustering

  • Achieved 98%+ similarity scores using cosine similarity
  • Implemented K-Means clustering, revealing 8 sonic profiles

Tech: Python scikit-learn Machine Learning K-Means

📈 Sales Analytics Dashboard

Created Tableau dashboard analyzing 271K+ transactions across 147 countries

  • Visualized 89% sales growth from 2011-2014
  • Built an interactive drill-down analysis

Tech: Tableau Data Visualization Business Intelligence

🛠️ Technical Skills

Languages: Python • SQL • R
Data Science: Pandas • NumPy • scikit-learn • Machine Learning
Visualization: Tableau • Matplotlib • Seaborn
Databases: PostgreSQL • SQLite
Tools: Git • Excel • Jupyter

📫 Let's Connect!

I'm actively seeking Data Scientist / Business Analyst positions where I can apply my analytical skills.

LinkedIn Email GitHub

⭐ Feel free to explore my repositories!

Popular repositories Loading

  1. Tableau-Project---Sales-Analysis Tableau-Project---Sales-Analysis Public

    Interactive Tableau dashboard analyzing 271K+ sales transactions across 147 countries; 89% growth (2011–2014), geographic and rep performance views.

  2. SQL-Project--Fraud-Detection SQL-Project--Fraud-Detection Public

    SQL-based fraud detection analyzing 1.3M+ transactions with geographic anomaly detection

    Python

  3. Spotify-Data-Analysis-and-MusicRecommendation Spotify-Data-Analysis-and-MusicRecommendation Public

    Music recommendation engine for 114K Spotify tracks using K-Means clustering and cosine similarity. Achieved high relevance verified through manual spot-checks, content-based filtering on 9 normali…

    Python

  4. Arshad289 Arshad289 Public

    My GitHub profile README

  5. Portfolio Portfolio Public

    HTML