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Tomasz Gonet

@tomaszgonet

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Data scientist and environmental analyst specialising in air quality and emissions.

United Kingdom

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What I'm looking for

I seek roles applying ML and data engineering to environmental and engineering datasets, building production analytics, dashboards and forecasting models in collaborative, impact-driven teams.

I am a data scientist and environmental data analyst focused on air quality, particulate emissions and real-world environmental problems. I build predictive models, automated analytics applications and dashboards that drive R&D, regulatory preparedness and commercial decision-making.

At Jaguar Land Rover I developed SARIMA, neural network and random-forest forecasting models and a MATLAB application that automated the brake-emissions analytics lifecycle, delivering substantial cost and time savings and improving data reliability.

My PhD and academic work concentrated on measurement and characterisation of vehicle-derived particulate matter, with multiple peer-reviewed publications and international collaborations. I have presented at major conferences and acted as a peer reviewer for leading journals.

I seek to apply machine learning, data engineering and environmental domain expertise to deliver operational improvements and regulatory-compliant analytics, while continuing to develop robust, production-ready data products for engineering teams.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Jaguar Land Rover

Apr 2022 - Present (3 years 8 months)

Developed SARIMA, neural network, and random forest models for brake emissions forecasting that delivered ~£200k annualised avoided lab costs; built a MATLAB app automating the brake-emissions analytics lifecycle to save ~10 engineer-hours/week and developed Tableau dashboards to improve testing efficiency.

SARIMA Python Matlab Tableau data preprocessing Machine Learning Dashboarding

Education

Degrees, certifications, and relevant coursework

Distance Learning Centre

Practical Artificial Intelligence (in Python) training course, Artificial Intelligence

2025 - 2025

Practical course in applied machine learning in Python covering key algorithms and practical implementation for real-world problems.

Multiverse (Level 4 Data Analytics Fellowship)

Level 4 Data Analytics Fellowship, Data Analytics

2022 - 2024

Activities and societies: Delivered a portfolio including predictive SARIMA models and automated dashboards.

Industry-recognised data analytics apprenticeship focusing on advanced analytics, data engineering, and real-world project delivery using Python, SQL, and Tableau.

Lancaster University

Doctor of Philosophy, Environmental Science

2017 - 2022

Activities and societies: Collaborated with multiple international universities; presented at international conferences; published in peer-reviewed journals.

PhD research on magnetic differentiation and quantification of airborne particulate matter from vehicular brake systems, including data analytics, visualisation, and peer-reviewed publications.