Data Assistant
Resume:
Tayeb Ayat
Los Angeles, CA
*****.****@*****.***
Tayeb Ayat, PhD, PE
Experienced and Lead data scientist with 8+ years of experience in data-driven solutions, software development, and consulting in industry. Highlights
Lead Business process improvement, vendor management, project scheduling, Strategic planning, and Goal attainment
Experienced in Python, SQL, R, Octave, Matlab, Teams, Pandas, NumPy, TensorFlow, Matplotlib, Scikit-learn, NLTK, Spotfire, Tableau, Regression and classification models, tree-based models, neural networks, time series data, and recommendation systems EXPERIENCE
Strategic Advisor, CRC, Long Beach, CA 2020-Present
− Lead innovation and data driven solution across multidisciplinary team Data Science Lead, CRC, Long Beach, CA 2014-2020
− Managed all stages of data-driven studies for our California assets and delivered cutting edge recommendations that saved cost, increased productivity, and shortened analysis processing time.
− Providing advanced engineering and data analysis support for short-term and long- term projects via big data modeling, visualization, advanced time series analysis, unstructured data analysis, and advanced analytics.
− Analyzed complex multi-well upstream time series datasets with statistical and machine learning techniques to predict future behavior to highlight opportunities for capital investment and also avoid multi-million-dollar loss with preventative low-cost maintenance (ANN, multiple regression analysis, random forests, SVM) Staff Applied Scientist, Occidental, Bakersfield, CA 2013-2014
− Implemented an exploratory data analysis and advanced data-driven modeling to screen more than 120 fields in California for Waterflood/EOR opportunities to enhance revenue and production.
Data Science Intern, Chevron, San Ramon, CA 2012
− Developed State-of-the-art machine learning automation tool to monitor and optimize general waterflood performance with big data.
− Build, trained, and deployed deep Learning model to forecast critical parameters about Chevron global asset portfolio and development scenarios. Research Assistant, University of Southern California, Los Angeles, CA 2009- 2013
− Developed the novel fuzzy clustering model to analyze the behavior of random induced phenomena
− Coinvented an intelligent exploratory data analysis, signal processing, and advanced data-driven modeling workflow to map features to predict pair relationship and optimize schedule for multi-million-dollar waterflooding projects (Published Patent: US20130231867A1 and US20130245952A1)
− Build, trained, and deployed deep Learning model to create automation tool to provide the inherent features of earthquakes signals and patterns.
− Led a group of graduate students to provide the complex NN model for future gas prospects detection in Gulf of Mexico using complex unstructured seismic data.
− Published 16 papers, one book, and two patents +110 citations (Link) EDUCATION
- Ph.D., Engineering, University of Southern California (2013)
- M.Sc., Engineering Science, University of Southern California (2011)
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