Using POWER BI to perform data visualization in different domains to show insights, trends and forecasts by using different datasets like excel, csv and SQL.

Here I conducted EDA on a diverse datasets, including movies, sales, and gaming data. Did data cleaning, visualization, and interpretation using libraries like pandas, NumPy, Matplotlib, and Seaborn to extract actionable insights for informed decision-making processes.

A sophisticated CAN bus analyzer in C, featuring real-time data capture, message filtering, decoding, graphical representation, and advanced statistical analysis

Redbus Data Scraping with Selenium & Dynamic Filtering using Streamlit

This Project Extracts supply chain data from csv file having 180k records and more than 40 columns from the Azure Datalake Gen2 storage account and do some dataanalysis with Python(Pandas) to find the top 3 countries and filtered the data for top 3 countries and finally transferred it to 3 files in datalake again by creating ETL pipeline in ADF.

Creating MongoDB queries for data manipulation and retrieval from the products collection, based on product.json, for GUVI Zen class Day-35 task.

Simplify your EF Core data filtering and query generation with Pandatech.EFCoreQueryMagic. This package transforms complex filtering requirements into optimized EF Core queries effortlessly, enhancing developer productivity and application performance. Ideal for dynamic, data-driven applications.

ShoE-com 🛒👟 is a modern e-commerce web application that allows users to browse and filter a variety of shoe products. Built with React and TypeScript, it provides essential features like product filtering (by category, company, color, and price range), search functionality, and responsive design. The app displays shoe products with detailed infor

Data Filter and Sort String And Number type