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jiyanshgarg
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Jiyansh Garg jiyanshgarg

Data Analyst | SQL | Excel | Python | Tableau | KPI Reporting & Business Insights

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jiyanshgarg/README.md

Hello

I am a Data Analyst with hands-on experience analyzing datasets using SQL, Excel, Python, and Tableau. I focus on transforming raw data into reliable, decision-ready insights through structured cleaning, validation, and KPI-driven reporting.

Across multiple analytics projects, I have built dashboards to monitor business performance, developed customer segmentation models, and analyzed operational trends to uncover efficiency gaps and revenue-impacting patterns. My work emphasizes data integrity, clarity in reporting, and practical business interpretation.

Core strengths include: * SQL-based data extraction, joins, and aggregations * Data cleaning and quality validation * KPI definition and dashboard development * Translating analytical findings into actionable recommendations

With a commerce background, I approach data not just from a technical lens, but from a business impact perspective -- focusing on how insights influence revenue, cost, and performance decisions.

I am committed to continuously strengthening my SQL and business intelligence capabilities while contributing to data-driven teams that value accuracy, ownership, and analytical thinking.

Email : jiyansh1823@gmail.com

LinkedIn: https://www.linkedin.com/in/jiyansh-garg/

Tableau Public:https://public.tableau.com/app/profile/jiyansh.garg/vizzes

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  1. Aerofit-Treadmill-Customer-Analytics Aerofit-Treadmill-Customer-Analytics Public

    I used Tableau features: calculated fields, parameters, filters, geographic maps, dashboards.

  2. Netflix-Content-Engagement-Analysis-Python- Netflix-Content-Engagement-Analysis-Python- Public

    Exploratory and visual analysis of Netflix's global catalogue to inform content production and regional growth strategy.

    Jupyter Notebook

  3. digital-music-store-analytics-SQL digital-music-store-analytics-SQL Public

    Unravel valuable insights and answer numerous critical questions about our music store's operations. By diving deep into the dataset, we aspire to gain profound understanding and enhance decision-m...

    1

  4. Walmart-Black-Friday-Customer-Purchase-Analysis Walmart-Black-Friday-Customer-Purchase-Analysis Public

    This project analyzes 550,000+ Walmart Black Friday transactions to understand how customer demographics influence purchase behavior. The analysis applies statistical inference techniques, includin...

    Jupyter Notebook