Yamini Garuda

Employee Turnover Analytics.

• Built a machine learning model to predict employee attrition using HR analytics data.
• Performed EDA, preprocessing, clustering, and classification modelling.
• Applied SMOTE to address class imbalance and trained Logistic Regression, Random Forest, and Gradient Boosting models.
• Evaluated performance using ROC-AUC, confusion matrix, cross-validation, precision, and recall.
• Proposed employee retention strategies based on attrition risk levels.

Spotify Song Cohort Analysis.

• Performed EDA, feature engineering, and clustering on Spotify song data to group similar songs into meaningful cohorts.
• Applied dimensionality reduction and clustering techniques using song audio, and popularity features.
• Derived insights to support music recommendation and content personalization use cases.

• Built and optimized data extraction, transformation, and reporting workflows using SQL and PL/SQL.
• Reduced report delivery time by 40% through reporting automation.
• Performed data validation, quality checks, and troubleshooting to ensure data accuracy and consistency.
• Applied query optimization and performance tuning to improve execution efficiency.
• Used Unix scripting, Excel, and ETL tools for automation and data transformation.
• Mentored 3 junior analysts and collaborated with stakeholders to deliver data-driven solutions.

• Developed SQL-based solutions for data processing, reporting, and business requirements.
• Resolved 100+ production incidents and conducted root cause analysis on recurring issues.
• Managed data inconsistencies, validation issues, and release support activities.
• Created 50+ SOPs and technical documents for process standardization.

• Managed batch processing and workflow monitoring for enterprise systems.
• Reduced batch runtime by 15% through monitoring and optimization.

• Developed ETL workflows using Ab Initio for data integration and processing.
• Built data pipelines for file validation and database loading.
• Wrote Unix shell scripts for process automation and supported testing/deployments.