Meghana Thimmaiah

About Meghana Thimmaiah

I am a passionate data science professional with over 5 and a half years of experience…

Experience

1. Data Science Intern

   GAINS

   Jan 2025 — Present · Chicago, IL

   Designed and optimized data ingestion frameworks in Azure Databricks to streamline data movement and ensure efficient ETL processing across environments.• Implemented data cleanup and deduplication logic to enhance data accuracy, consistency, and reliability in production pipelines.• Built and maintained end-to-end data pipelines using PySpark and SQL for data transformation, validation, and analytics integration.• Developed Gaussian Process Regression (GPR) models to analyze forecasting errors and capture uncertainty trends across time-based data.• Experimented with kernel selection, hyperparameter tuning, and time-based cross-validation to improve predictive performance and model robustness.• Created and deployed explainable AI models using MLflow and SHAP to interpret predictions and provide transparency in model decision-making.• Contributed to demand forecasting workflows, focusing on data preparation, feature engineering, and evaluation of model performance.• Automated deployment and validation processes using Databricks CLI to support smooth model and pipeline rollouts.• Collaborated with cross-functional teams to align data science outputs with business goals and ensure seamless integration of models into production.• Supported continuous improvement of ML pipelines, from data ingestion to explainability and model monitoring.