• Actively contributed to the development and maintenance of an automated data pipeline using Python and SQL, proactively identifying and resolving data anomalies, ensuring the integrity of extensive datasets.
• Created automated dashboards to track data performance, resulting in a 20% reduction in manual work hours and enhancing efficiency.
• Demonstrated a strong sense of ownership by executing daily quality control processes, guaranteeing the accuracy and consistency of data for critical operations.
• Conducted in-depth market research within the Oil and Gas Industry, delivering timely and valuable insights to clients by promptly addressing ad-hoc requests, showcasing adaptability and responsiveness to client needs.
• Skills: Data Scraping · Statistical Data Analysis · Python · SQL