Badges
Certifications
Work Experience
Data Science Teaching Assistant
General Assembly London• September 2020 - December 2020
• Assisted in the training of 25 students enrolled in the Data Science course which covers lessons and projects on statistics, machine learning models and big data problems using Python and its associated libraries, SQL, Tableau, AWS and PySpark.
Graduate Teaching Assistant
Imperial College London• October 2019 - February 2020
• Assisted in the teaching of Petrophysics, Well Test Analysis, and in Oil Field Development group project.
R&D Intern
Kidova• May 2019 - September 2019
• Developed a project of a new software plug-in that generates statistics indicators to find geological models that match an oil field production historical data.
New Product Development Engineer
Schlumberger• October 2014 - July 2017
• Coordinated field trials worldwide and influenced and initiated cross-functional initiatives to improve the data acquisition and data processing of new electromechanical devices used in oil wells, whose projects investments were in excess of 100 million USD. • Contributed with data analysis, problem solving and job planning to the successful commercialisation of three new devices used in oil wells, which proved to be differentiators against competition. • Provided training to field engineers and global support to subject matter experts on the new devices. • Authored three operational manuals and contributed to three conference papers.
Education
Imperial College London, London
Business Analytics, MS• September 2020 - Present
• Modules: Data Structures and Algorithms, Statistics and Econometrics, Optimisations and Decision Models, Database Technologies, Machine Learning, Network Analytics, Analytics in Business, Energy Analytics, Logistics and Supply-Chain Analytics, Retail and Marketing Analytics, and Financial Analytics.
Imperial College London, London
Petroleum Engineering, MS• October 2018 - September 2019