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This Power BI project aims to analyze a comprehensive call center dataset with features including Call ID, Agent, Date, Time, Topic, Answered (Y/N), Resolved, Speed of Answer (seconds), Avg Talk Duration, and Satisfaction Rating. The goal is to gain valuable insights into call center performance, customer satisfaction, and emerging trends.

Job-Recommendation-System

This repository contains the code and instructions to build a job recommendation system using machine learning. The system is designed to provide personalized job recommendations based on user preferences and historical job data. The data for this project is scraped from Glassdoor, and the system is deployed using the Azure cloud platform.

Jupyter Notebook

Supply-Chain-Analytics

In this article, we explored a comprehensive supply chain analytics project, encompassing data extraction, ETL using Python, loading data into Snowflake, and creating an interactive dashboard with Power BI. By harnessing the power of ETL, Snowflake, and Power BI, businesses can unlock valuable insights from their supply chain data.

PowerShell

Income-Pediction

In this Tutorial, I have applied my machine learning skills to predict income of different employees.

Jupyter Notebook

HR-Job-Salary-Analysis-using-SQL-Power-BI

This project focuses on analyzing job salary data from Indeed using Python, Selenium, and SQL, and visualizing the results in Power BI. The data is scraped from Indeed job postings, pre-processed using Pandas in Python, and then loaded into a SQL database. SQL queries are used to analyze the data and generate insights, and the results are visualize

Python