Abbas Behrainwala's repositories
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.
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.
Bike-Sales-Analysis-Dashboard
This Power BI project aims to create a comprehensive sales analysis dashboard using the provided dataset. By visualizing the sales data through various perspectives, the dashboard will enable users to gain valuable insights into sales performance, customer behavior, and product trends
Call-Centre-Trends-Analysis-using-PowerBI
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.
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
Income-Pediction
In this Tutorial, I have applied my machine learning skills to predict income of different employees.
Complete-Guide-To-WordNet
In this Tutorial, I have discussed some of the applications of WordNet(Lexical Database).These are:
EDA
Complete Exploratory Data Analysis on Student Performance data
Feature-Encoding-Techniques
In this Tutorial, I have discussed some of the different feature encoding techniques used in Data science.
Hands-On-Multi-Class-Classification
In this tutorial, I have used my NLP skills and Machine Learning knowledge to predict the class of different news headlines.
Important-NLP-Techniques
In this tutorial, I have covered some basic important Natural language Processing techniques needed when dealing with text data.
Predict-Fare-of-different-Airlines-
In this project, We will be predicting fare of different airlines using Linear Regression and learn different concepts in Machine Learning like Exploratory Data Analysis, Feature Engineering and many more.
Predicting-IPL-Winner
In this mini-project, I have used my Data Analytics skills and done analysis on different aspects of cricket analysis in terms of players performance, overall team analysis and many more.