Pinned Repositories
Big_data_tech
Bussiness-Card-Data-Extraction
Class_Objects
Unleash the power of code organization and reusability.
covidtrack
Machine learning basic understanding for the U.S Covid Tracking Dataset
CRISP_ML_Q
Dict_random
Pizza-Sales-Report
Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.
Praveendinesha
Config files for my GitHub profile.
Sales-Insights-Analysis_E-Commerce
Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.
Youtube-Data-Harvesting-and-Warehousing
Comprehensive YouTube Data Harvesting and Analysis Project: Utilized Python's API for data extraction, enriched by SQL queries, and stored in MongoDB. Employed Streamlit for streamlined visualization, enabling efficient data collection, storage, and insightful analysis.
Praveendinesha's Repositories
Praveendinesha/Sales-Insights-Analysis_E-Commerce
Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.
Praveendinesha/Big_data_tech
Praveendinesha/Bussiness-Card-Data-Extraction
Praveendinesha/Class_Objects
Unleash the power of code organization and reusability.
Praveendinesha/covidtrack
Machine learning basic understanding for the U.S Covid Tracking Dataset
Praveendinesha/CRISP_ML_Q
Praveendinesha/Dict_random
Praveendinesha/Pizza-Sales-Report
Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.
Praveendinesha/Praveendinesha
Config files for my GitHub profile.
Praveendinesha/Youtube-Data-Harvesting-and-Warehousing
Comprehensive YouTube Data Harvesting and Analysis Project: Utilized Python's API for data extraction, enriched by SQL queries, and stored in MongoDB. Employed Streamlit for streamlined visualization, enabling efficient data collection, storage, and insightful analysis.
Praveendinesha/File_Handling
Praveendinesha/Hypothesis_testing_Stats
Praveendinesha/Phonepe
Praveendinesha/Sql.ipynb
Structured Query Language Queries and which is intergrated with a Python.