Skip to content
View sai15235's full-sized avatar
๐ŸŽฏ
Focusing
๐ŸŽฏ
Focusing

Block or report sai15235

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 donโ€™t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
Sai15235/README.md

Hi ๐Ÿ‘‹, I'm Sai Kiran Reddy

Aspiring Data Analyst | Python | SQL | Power BI

I'm an aspiring Data Analyst with hands-on experience in Python, SQL, and data visualization.
I enjoy working with real-world datasets, building dashboards, and extracting insights.

Always learning. Always improving. ๐Ÿš€


๐Ÿ“ซ Contact


๐Ÿ›  Tools


๐Ÿ“Š GitHub Stats

Sai's GitHub stats

GitHub Streak


Pinned Loading

  1. Grocery_Store_Management_SQL Grocery_Store_Management_SQL Public

    Built a MySQL database for a grocery store and wrote 25+ SQL queries to analyze sales trends, customer behavior, and product performance.

  2. Weather_Analytics_Dashboard_PowerBI Weather_Analytics_Dashboard_PowerBI Public

    Built a Power BI dashboard analyzing Telangana weather data (2021โ€“2025), highlighting rainfall trends, temperature patterns, and seasonal insights.

  3. Cricket_Performance_Dashboard_PowerBI Cricket_Performance_Dashboard_PowerBI Public

    Interactive Power BI dashboard analyzing Virat Kohli's international cricket career โ€” runs, centuries, averages, and format-wise breakdowns with dynamic slicers.

  4. Retail_Sales_Dashboard_Excel Retail_Sales_Dashboard_Excel Public

    Built an Excel dashboard analyzing 1,000 Indian retail orders using pivot tables, KPIs, and slicers to track sales and profit performance.

  5. Movie_Data_Analysis Movie_Data_Analysis Public

    Performed exploratory data analysis on a movie dataset to identify factors influencing box office performance using Python and visualization tools