プロフィール詳細

プロジェクトを作成

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Dr. Bright O.に依頼

United Kingdom

Senior Data Scientist

プロフィール概要

Seasoned data scientist with expertise in natural language processing, computer vision, time series analysis, and a vast range of machine learning techniques including supervised and unsupervised learning. Driving insights and solutions with data-driven approaches.

専門分野

• ☆ Biotechnology & Bioengineering
• ☆ Biomass & Bioenergy
• ☆ Aerospace Engineering
• ☆ Software Engineering
• ☆ Software Architecture
• ☆ Energy Security
• ☆ Civil Engineering
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Social Network Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Data Architecture
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Renewable Energy
• ☆ Solar Energy
• ☆ Bioenergy & Biofuels
• ☆ Scientific Proofreading & Editing

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, Copywriting, Creative Writing, General Proofreading & Editing

Research Market Research, Feasibility Study, Technology Scouting

Consulting Digital Strategy Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization

職務経験

Senior Data Scientist

ITC

10月 2022 - 現在

Lecturer

University of Liverpool

9月 2019 - 8月 2020

学歴

PhD in Data Science

University of Liverpool

11月 2013 - 11月 2017

MSc (Engineering)

University of Liverpool

9月 2012 - 12月 2013

MSc.

University of Liverpool

9月 2012 - 9月 2013

Aerospace engineering (Engineering)

University of Liverpool

9月 2009 - 6月 2012

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Gray, N., Calleja, D., Wimbush, A., Miralles-Dolz, E., Gray, A., De-Angelis, M., Derrer-Merk, E., Oparaji, B.U., Stepanov, V., Clearkin, L. and Ferson, S., 2020. " No test is better than a bad test": Impact of diagnostic uncertainty in mass testing on the spread of Covid-19. medRxiv .

Oparaji, B.U., Clearkin, L., Ferson, S., De Angelis, M., Ferrer-Fernandez, M., Calleja, D., Gray, N. and Derrer-Merk, E., 2020. Comment on: British Society for Rheumatology guideline on diagnosis and treatment of giant cell arteritis. Rheumatology .

CONFERENCE PAPER

(2017). Publication Preview Source Uncertainty Quantification Methods for Neural Networks Pattern Recognition.

(2017). Publication Preview Source ROBUST ARTIFICIAL NEURAL NETWORK FOR RELIABILITY ANALYSIS.

(2016). Publication Preview Source Artificial Neural Network Uncertainty Quantification for the Sensitivity Analysis of the SIXEP Model.

RESEARCH TOOL

Bright Oparaji .