aleksei bezguzov-• +7-(977)- • linkedin.com/in/alekseibezguzov
DATA SCIENTIST
Data Scientist with experience in Oil & Gas domain (Upstream, Measurements and Logging While Drilling). Meticulous professional with Masters Degree in Petroleum Data Management and Petroleum Engineering, solid understanding of advanced machine learning techniques, applied statistics skills and programming background with Python as well as technical knowledge of full cycle of well construction.
Key competencies:
Machine Learning / Deep LearningPython (PyTorch, scikit-learn)
Natural Language Processing (theme deduction)Computer Vision (image segmentation)
Apache Spark (PySpark), Hadoop SQL proficiency, Version Control (Git)
PROFESSIONAL EXPERIENCE
Sberbank, Data Scientist, 02/2019 – Present, Moscow, Russia
Created image segmentation model for construction stage prediction using Digital Globe satellite imagery after identifying right modelling approach (different network architectures and their impact on prediction).
Improved existing model for credit default prediction by feature reduction based on shapley values for each loan ID which further decreased the complexity of the model and time required to train it (slight Gini increase from 0.56 to 0.62).
Modified the model for classification of the covenants type (text of the contractual agreement) using MinHashLSH with adjusted weights as current approach of utilizing Spark for multiprocessing of cosine similarity calculation was not applicable.
Clustered transactions based on their description using word embeddings.
Sibintek, Data Scientist, 11/2018 – 02/2019, Moscow, Russia
Cleaned and curated sensors data from ill-defined datasets for time series analysis.
Built time-series models as part of the project for predicting ESPs failure prediction.
TOTAL, Data Manager (Intern), 03/2018 – 07/2018, Paris, France
Created ArcGIS toolbox (spatial mapping and visualisation platform) with embedded geodatabase data quality control.
Enhanced customer experience by creating fully automated data loading workflow from ArcGIS to PostgreSQL database.
Schlumberger, Field Engineer (Drilling & Measurements), 12/2011 – 03/2016, Bangkok, Thailand
Top of the class in “Advanced formation data interpretation” course.
Reduced final product delivery time on average from 7 to 3 days for each final package (subsurface data, drilling dynamics, drilling parameters) by creating client specific.
Acted as a service manager providing simultaneous support for well site operations on 3 oil rigs in budget and time constraints environment.
EDUCATION
Master’s degree, Petroleum Data Management, 2018 • IFP School, France
Master’s degree, Petroleum Engineering, 2011 • Gubkin Russian State University of Oil and Gas, Russia
Bachelor’s degree, Petroleum Engineering, 2009 • Murmansk State Technical University, Russia
