Consultant And Python Software Developer (2021-Present)
CurrentDeveloped a custom Python application to streamline data integration and analysis processes specifically for oil and gas exploration. The application reads multiple Excel spreadsheets, cleans inconsistencies, handles missing data, and merges them into a unified dataset. Leveraged machine learning techniques, such as anomaly detection and data imputation, to identify outliers and fill in missing values, ensuring data accuracy and integrity.The solution also filtered the dataset to identify scenarios such as drilling opportunities, including instances where unperforated pipe extends through reservoirs with an oil-water contact below its elevation. By automating these processes, the software significantly improved decision-making efficiency for exploration and reservoir management.Key Contributions- Created a data processing pipeline for merging and cleaning disparate data sources.- Utilized machine learning models for anomaly detection and data imputation.- Developed algorithms to identify drilling opportunities and reservoir management scenarios.- Provided ongoing consultation on Python software development and machine learning integration for optimal project outcomes.This role combined geoscience expertise with advanced Python development skills to effectively automate complex data workflows, significantly enhancing operational efficiency in the oil and gas sector.