ProjectsMay 1, 2024Employee Attrition Analysis
This project analyzes employee attrition patterns to help organizations develop effective retention strategies. Using Tableau for visualization, the analysis identifies key factors contributing to employee turnover and provides actionable insights.
- Attrition Analysis: Identify patterns and trends in employee turnover
- Risk Factors: Determine the key factors that contribute to employee attrition
- Visualization: Create interactive dashboards for stakeholder communication
- Recommendations: Develop data-driven retention strategies
- Interactive Filters: Explore data by department, tenure, and demographics
- Trend Analysis: Visualize attrition trends over time
- Risk Scoring: Identify high-risk employee segments
- Comparative Analysis: Compare attrition across different organizational units
- Tableau: Primary visualization and dashboard tool
- Python: Data preprocessing and analysis
- Statistical Analysis: Correlation and regression analysis for factor identification
The analysis revealed that factors such as work-life balance, career growth opportunities, and compensation significantly impact employee retention. The interactive dashboard enables HR teams to monitor and address attrition risks proactively.
View the interactive Tableau dashboard Related projects
Airline Revenue Optimization System
Designed a predictive ML system for airline passenger no-shows to maximize overbooking revenue using cost-sensitive learning and Monte Carlo simulationsF1 AI Race Predictor
Built an end-to-end race prediction platform using historical race data, weather, driver performance, and qualifying results, achieving 68.5% accuracyPortfolio Optimization Dashboard
Designed a full-stack investment optimization system supporting strategies like Markowitz, Black-Litterman, and Risk Parity, with real-time analytics dashboardsNashville Airbnb Data Analysis
Enhancing InsideAirbnb.com with Predictive Analytics on Nashville Listings: A Data-Driven Approach to Price and Rating PredictionsRestaurant Review Data Dive
Uncovering Customer Satisfaction Drivers through Sentiment Analysis and Predictive Modeling of Restaurant Reviews across Multiple StatesCar Sales Data Dive
Predicting Car Sale Prices through Advanced Data Cleaning, Feature Engineering, and Regression ModelingLyft Market Analysis
Lyft Market Expansion Strategies and Optimization in Washington D.C. using Tableau visualizationCOVID-19 Clustering Analysis
Comparing Spectral Clustering with K-means and KNN to determine relationships between COVID-19 transmission peaksBird Data Analysis
Exploratory data analysis and pattern recognition in bird observation datasets