
Results-driven data professional with over five years of experience in the media and consulting industries, specializing in data science and analysis. Expertise in transforming complex datasets into actionable business insights through robust statistical and analytical methodologies. Ensures data accuracy while identifying and resolving bottlenecks to optimize data pipelines for peak performance. Proficient in leveraging big data tools such as Apache Spark and Hive, with a proven track record of effective collaboration with cross-functional teams. Committed to contributing to strategic decision-making within a data-driven environment, particularly in the clinical research sector.
Churn Model Development: Developed a churn model utilizing historical user behavior data and subscription data., Engineered features to enhance model performance.
Propensity to Buy Model: Conducted data preparation and model selection for a propensity-to-buy model. Created datasets to support model training and validation.
Data Modernization: delivered a fully automated and scalable ETL pipeline for Nuga Bank to handle large volumes of financial data, significantly improving data quality and reporting efficiency.
link : https://github.com/gregtsado/ZipcoFood_orchestration
Fill Rate Analysis: Produced insightful visualizations to communicate fill rate trends and patterns., Analyzed impressions and ad request data to measure advertising effectiveness. Identified key metrics and dimensions influencing impressions/ad request ratios such as Brands, AdType, Application, LineItem and Operating System.
NYC Payroll Data Analytics: Designed and implemented a robust Data Warehouse and developing a fully automated ETL pipeline to ensure data consistency and quality
Link: https://github.com/gregtsado/Payroll_NYC