プロフィール詳細

プロジェクトを作成

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Dr. Toyosi A.に依頼

United States

Freelance Data Scientist & Industrial Engineer | Expert in Python and R

プロフィール概要

A highly motivated data scientist/researcher with a PhD degree in Industrial engineering and a minor in Statistics. I have 5+ years of experience in Applied Statistics and Data Science in general. I have successfully implemented statistical and machine learning solutions in diverse industries such as pharmaceutical manufacturing, traditional manufacturing, automotive design and tire design.

専門分野

• ★ Industrial Engineering
• ☆ Software Engineering
• ☆ Internet of Things
• ☆ Robot Programming
• ☆ Industrial Operations Research
• ☆ Manufacturing
• ☆ Manufacturing Facility Design
• ☆ Lean Manufacturing
• ☆ Manufacturing Optimization
• ☆ Process Control
• ☆ Automation
• ☆ Manufacturing Automation
• ☆ Data Analysis
• ☆ 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
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Bayesian Statistics
• ☆ Statistical Review
• ☆ Trend Analysis
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Stochastic Processes
• ☆ Industrial Design
• ☆ Industrial Management
• ☆ Production & Operations Management
• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Tensorflow
• ☆ R
• ☆ Scikit-learn
• ☆ Supply Chain & Logistics
• ☆ Inventory Control
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Literature Search
• ☆ Gap Analysis
• ☆ Instructional Webinars
• ☆ Skills Training
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Instructional Materials
• ☆ SOP & Protocol Writing
• ☆ White Papers
• ☆ Case Studies
• ☆ Textbook Content Writing
• ☆ Science Communication
• ☆ Literature Review
• ☆ Systematic Literature Review
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Course Content Writing
• ☆ Six Sigma
• ☆ Management Consulting

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Copywriting

Research Gap Analysis, Gray Literature Search, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Product Evaluation, Product Validation, Prototyping

職務経験

Data Scientist / Machine Learning Scientist

Norfolk Southern Corporation

9月 2022 - 現在

Data Scientist

Nexen Tire

8月 2021 - 6月 2022

Graduate Teaching Assistant

The Pennsylvania State University

8月 2018 - 5月 2021

Graduate Research Assistant

The Pennsylvania State University

5月 2016 - 5月 2021

Data Scientist

Volvo Group Trucks

5月 2019 - 8月 2019

Validation Engineer Consultant

Pfizer

9月 2013 - 12月 2015

学歴

Industrial and Manufacturing Engineering

The Pennsylvania State University

1月 2016 - 5月 2022

Master of Industrial Engineering (Industrial and Systems Engineering)

North Carolina State University

8月 2011 - 5月 2013

認定資格

• Certified Quality Engineer

  American Society for Quality

  12月 2014 - 12月 2022

出版物

JOURNAL ARTICLE

Toyosi Ademujimi, Vittaldas Prabhu (2022). Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems . Sensors.

Toyosi Ademujimi, Vittaldas Prabhu (2022). Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems . Sensors.

Toyosi Ademujimi, Vittaldas Prabhu(2021). Fusion-Learning of Bayesian Network Models for Fault Diagnostics . Sensors. 21. (22). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 7633. {MDPI} {AG}

Toyosi Ademujimi, Vittaldas Prabhu (2021). Fusion-Learning of Bayesian Network Models for Fault Diagnostics . Sensors.

CONFERENCE PAPER

Development of Novel Hybrid Manufacturing Technique for Manufacturing Support Structures Free Complex Parts @inproceedings{2019, doi = {10.1115/msec2019-2928}, url = {https://doi.org/10.1115%2Fmsec2019-2928}, year = 2019, month = {jun}, publisher = {American Society of Mechanical Engineers}, author = {Haris Ali Khan and Toyosi Ademujimi}, title = {Development of Novel Hybrid Manufacturing Technique for Manufacturing Support Structures Free Complex Parts}} . Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing.

Smart Manufacturing Through a Framework for a Knowledge-Based Diagnosis System @inproceedings{2017, doi = {10.1115/msec2017-2937}, url = {https://doi.org/10.1115%2Fmsec2017-2937}, year = 2017, month = {jun}, publisher = {American Society of Mechanical Engineers}, author = {Michael P. Brundage and Boonserm Kulvatunyou and Toyosi Ademujimi and Badarinath Rakshith}, title = {Smart Manufacturing Through a Framework for a Knowledge-Based Diagnosis System}} . Volume 3: Manufacturing Equipment and Systems.

A Review of Current Machine Learning Techniques Used in Manufacturing Diagnosis @incollection{2017, doi = {10.1007/978-3-319-66923-6_48}, url = {https://doi.org/10.1007%2F978-3-319-66923-6_48}, year = 2017, publisher = {Springer International Publishing}, pages = {407--415}, author = {Toyosi Toriola Ademujimi and Michael P. Brundage and Vittaldas V. Prabhu}, title = {A Review of Current Machine Learning Techniques Used in Manufacturing Diagnosis}} . Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing.