Ross Thomson

Aspiring Data Scientist / ML Engineer

Subsea Controls Engineer

With 25 years of experience as a Controls Engineer in the Oil and Gas industry, I have always leveraged data to analyse, diagnose faults and monitor performance of inaccessible equipment on the seabed . Now, I am channelling my passion for data science and AI into mastering advanced analytics and intelligent technologies.

Curriculam vitae

Qualifications

1996 - 2000

BSc Computer Science, Aberdeen University

Studying Mathematics, C, Logic and Proof, Databases and an elective in Economics

2023

Introduction to Data Science Edinburgh University

A challenging 12-week MSc introductory level course to gain skills in Data science funded. Passed with Merit.

2024

Advanced End to end Machine Learning, St Andrews University

12 week course aimed at professionals who wish to understand the core concepts, methods and technologies that underpin modern Deep Learning using artificial neural networks, Skills and packages taught are Scikit, Ternsorflow, Keras. 92% Passmark.

2023 - Ongoing

Master of Science in Data Science (Part Time), Aberdeen University

Studying Data Science, Data Visualisation, Machine Learning, Advanced Statistics, and Time Series, Image Analysis, R Programming. Average Passmark 76.5%

2024 - Ongoing

Microsoft Certified: Azure Data Scientist Associate DP-100

MS Certified Azure Machine Learning and MLFlow

2025

IBM Deep Leaning Applied Deep Learning Capstone Project

Real World Deep Learning Project completed for IBM qualification certificate via tests and coursework. 85% passmark achieved

Competencies

Communication
Skilled at conveying technical information clearly and concisely. Ability to listen to ensure strong collaboration within teams.

Problem Solving
With 24 years of engineering experience both onshore and offshore, I utilise datasets from deepwater seabed equipment to diagnose faults and monitor the status of production-critical systems.

Data Processing and Visualisation
Pandas, Python, R, Wolfram Mathmatica, SQL, Hadoop, Data Scraping, Image manipulation/Analysis, Feature Engineering, Tableau, Seaborn, Matplotlib.

Completed Data Visualisation course on how to present data in a compelling, narrative-focused story.

Machine Learning
Supervised Learning, Unsupervised Learning, Time Series Analysis, Time to Event Analysis, Image Classification, NLP models, Transformer, CNNs, RNNS, Transfer Learning, Tensorflow, Pytorch, GPU hardware, Hyperparameter Tuning, Docker, Kubernettes

Cloud Computing
MS Azure, AWS. Personal Learning on cloud computing services using data warehouse, data processing/manipulation and machine learning applications.

Probability and Statistics
Currently Studying Advances Statistics: likelihood, advanced hypothesis testing, outlier detection, data imputation, bootstrap, nonparametric regression and mixed effect models.

Ross Thomson

Qualifications

2025

Competencies

Communication Skilled at conveying technical information clearly and concisely. Ability to listen to ensure strong collaboration within teams.

Problem Solving With 24 years of engineering experience both onshore and offshore, I utilise datasets from deepwater seabed equipment to diagnose faults and monitor the status of production-critical systems.

Data Processing and Visualisation Pandas, Python, R, Wolfram Mathmatica, SQL, Hadoop, Data Scraping, Image manipulation/Analysis, Feature Engineering, Tableau, Seaborn, Matplotlib. Completed Data Visualisation course on how to present data in a compelling, narrative-focused story.

Machine Learning Supervised Learning, Unsupervised Learning, Time Series Analysis, Time to Event Analysis, Image Classification, NLP models, Transformer, CNNs, RNNS, Transfer Learning, Tensorflow, Pytorch, GPU hardware, Hyperparameter Tuning, Docker, Kubernettes

Cloud Computing MS Azure, AWS. Personal Learning on cloud computing services using data warehouse, data processing/manipulation and machine learning applications.

Probability and Statistics Currently Studying Advances Statistics: likelihood, advanced hypothesis testing, outlier detection, data imputation, bootstrap, nonparametric regression and mixed effect models.

Contact Information