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Many organisations do not fully understand their data requirements or AI needs. My role is to ensure that you understand the options available to you and your business, and to help you identify the most suitable and cost-effective solutions. I am Georgina Wager, a data scientist and PhD researcher specialising in AgriTech. My work combines video processing, computer vision (including YOLOv8 and DeepLabCut), and statistical analysis (R and Python) to predict individual feed intake and improve animal welfare through automated feeding-behaviour monitoring. I have contributed to multidisciplinary teams at Harper Adams University and with industry partners, helping to develop practical, affordable video-recording systems and scalable pipelines for real-time animal monitoring applicable across all sectors. Beyond research, I have hands-on experience delivering data-driven insights, developing labelling protocols, and designing ethograms for feeding and drinking behaviours. I enjoy translating complex machine-learning methods into actionable tools and collaborating with researchers, developers, and stakeholders to validate data and models for real-world applications.…Many organisations do not fully understand their data requirements or AI needs. My role is to ensure that you understand the options available to you and your business, and to help you identify the most suitable and cost-effective solutions. I am Georgina Wager, a data scientist and PhD researcher specialising in AgriTech. My work combines video processing, computer vision (including YOLOv8 and DeepLabCut), and statistical analysis (R and Python) to predict individual feed intake and improve animal welfare through automated feeding-behaviour monitoring. I have contributed to multidisciplinary teams at Harper Adams University and with industry partners, helping to develop practical, affordable video-recording systems and scalable pipelines for real-time animal monitoring applicable across all sectors. Beyond research, I have hands-on experience delivering data-driven insights, developing labelling protocols, and designing ethograms for feeding and drinking behaviours. I enjoy translating complex machine-learning methods into actionable tools and collaborating with researchers, developers, and stakeholders to validate data and models for real-world applications.

Georgina Wager-Jones

Data Scientist, Data Analyst, AI Strategy Consultant

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Many organisations do not fully understand their data requirements or AI needs. My role is to ensure that you understand the options available to you and your business, and to help you identify the most suitable and cost-effective solutions. I am Georgina Wager, a data scientist and PhD researcher specialising in AgriTech. My work combines video processing, computer vision (including YOLOv8 and DeepLabCut), and statistical analysis (R and Python) to predict individual feed intake and improve animal welfare through automated feeding-behaviour monitoring. I have contributed to multidisciplinary teams at Harper Adams University and with industry partners, helping to develop practical, affordable video-recording systems and scalable pipelines for real-time animal monitoring applicable across all sectors. Beyond research, I have hands-on experience delivering data-driven insights, developing labelling protocols, and designing ethograms for feeding and drinking behaviours. I enjoy translating complex machine-learning methods into actionable tools and collaborating with researchers, developers, and stakeholders to validate data and models for real-world applications.…Many organisations do not fully understand their data requirements or AI needs. My role is to ensure that you understand the options available to you and your business, and to help you identify the most suitable and cost-effective solutions. I am Georgina Wager, a data scientist and PhD researcher specialising in AgriTech. My work combines video processing, computer vision (including YOLOv8 and DeepLabCut), and statistical analysis (R and Python) to predict individual feed intake and improve animal welfare through automated feeding-behaviour monitoring. I have contributed to multidisciplinary teams at Harper Adams University and with industry partners, helping to develop practical, affordable video-recording systems and scalable pipelines for real-time animal monitoring applicable across all sectors. Beyond research, I have hands-on experience delivering data-driven insights, developing labelling protocols, and designing ethograms for feeding and drinking behaviours. I enjoy translating complex machine-learning methods into actionable tools and collaborating with researchers, developers, and stakeholders to validate data and models for real-world applications.

Available to hire

Many organisations do not fully understand their data requirements or AI needs. My role is to ensure that you understand the options available to you and your business, and to help you identify the most suitable and cost-effective solutions.

I am Georgina Wager, a data scientist and PhD researcher specialising in AgriTech. My work combines video processing, computer vision (including YOLOv8 and DeepLabCut), and statistical analysis (R and Python) to predict individual feed intake and improve animal welfare through automated feeding-behaviour monitoring. I have contributed to multidisciplinary teams at Harper Adams University and with industry partners, helping to develop practical, affordable video-recording systems and scalable pipelines for real-time animal monitoring applicable across all sectors.

Beyond research, I have hands-on experience delivering data-driven insights, developing labelling protocols, and designing ethograms for feeding and drinking behaviours. I enjoy translating complex machine-learning methods into actionable tools and collaborating with researchers, developers, and stakeholders to validate data and models for real-world applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at Peacock Technology Ltd.

September 1, 2024 - Present

Scoped product feasibility and design trade-offs for a multi-camera livestock tracking system by producing a literature review and strategic technical brief. Synthesised methods from academic and commercial research into clear system design recommendations (rotated bounding boxes, 3D camera integration, calibration pipelines). Outlined edge-case risks (occlusion from camera overlap, signal interference in RFID systems) and scalability considerations. Delivered actionable recommendations guiding tracking system architecture and real-time animal monitoring. Contributed to model evaluation for a Body Condition Score (BCS) predictor using 22,000+ labelled images, addressed class imbalance, and proposed augmentation and targeted data collection strategies. Planned labelling protocols and documentation for pipeline stages including metadata integration and alert triggers.

Data Scientist (Part-time) at Harper Adams University

May 1, 2021 - September 1, 2024

Tuberscan Project involvement; data analysis; assistant/support lecturer on data science modules; researcher on Modern Slavery Grant; published dataset in Dryad (Investigating human repeatability of a computer vision-based task to identify meristems on a potato plant).

Operations Manager (Part-time) at Round Oak Electrical Ltd.

April 1, 2020 - September 1, 2024

Database and system implementation and management; certification (NICEIC, CHAS, ECA); business development and analysis; Health and Safety Officer; website development and marketing.

Marketing Coordinator at Promar International (subsidiary of Genus Breeding Ltd)

August 1, 2019 - July 31, 2020

Built and monitored rebranding of the company website via Wordpress; SEO and analytics reports; managed social media presence; liaised with external companies to ensure correct presentation; GDPR compliance; assisted in developing the Digital Asset Library (DAL); maintained company webpages and analytics.

Tutor at Tutorful

December 1, 2018 - June 1, 2021

Mentored students in GCSE Chemistry, Biology, and Mathematics; adapted teaching methods to meet individual learning requirements.

Farm Assistant at Genus Breeding Ltd., Nantwich, Cheshire

August 1, 2018 - August 1, 2019

Farm assistant on three farms (livestock and arable); general herd health monitoring and cleanliness; milking 270 Holstein cows; teamwork on a potato grader project.