Employee Churn classification project
Data manipulation using Pandas in a Jupyter Notebook. A comprehensive Exploratory Data Analysis (EDA) followed by classification modeling for predicting employee churn with 85% accuracy.
Data Analyst skilled with Excel, SQL, Python, tableau and Power BI. Communicating complex data to bring valuable and actionable insights to your business.
Data manipulation using Pandas in a Jupyter Notebook. A comprehensive Exploratory Data Analysis (EDA) followed by classification modeling for predicting employee churn with 85% accuracy.
Exploratory Data Analysis conducted with SQL in a Jupyter Notebook and outage insights displayed via Tableau storyboard.
Economic and Market insights visualized using Tableau. Regression modeling performed with Python in a Jupyter Notebook to accurately predict mechanical failure of desalination pumps.
A Tableau Storyboard spotlighting intriguing and unexpected viewer engagement trends for YouTube users from 2016-2022.
Data Manipulation with Pandas library as well as Exploratory Data Analysis for Airbnb conducted using Python in a Jupyter Notebook to identify the most popular neighborhoods that generate the most revenue.
Conducted a market value analysis for water products using a Microsoft Excel Workbook, devised a financial budgeting plan based on production values and cost-to-produce, and determined the optimal quarter for desalination plant maintenance to minimize revenue losses.