Project Analytics Lead
London, England
"I used my industry experience to translate the client’s requirement from their engineering language into data science language and led the analytics team to deliver a tailor-made solution."
As Project Analytics Lead, I use both engineering experience and data-science techniques to help clients improve operations and performance.
We recently collaborated with Swiss eco-tech company Climeworks in the fight against global warming as they focus on filtering 1% of global CO2 emissions from the air by 2025 using Direct Air Capture (DAC)—the world’s first commercial carbon-removal technology.
In my role on this project, I used my industry experience to translate the client’s requirement from their engineering language into data science language and led the analytics team to deliver a tailor-made solution.
Our team developed analytics models to enhance decision-making and support optimization of select key performance indicators; identified and formalized Climeworks assets to be leveraged in a data-driven digital plant strategy; and created an Azure cloud-based digital plant user interface that allows Climeworks the ability to use analytics to visualize core functionality.
The digital plant is now fully up and running on cloud, helping Climeworks achieve their digital transformation.
The Climeworks team included Technical Architect Gary Boyle, who focused on ensuring the effectiveness of the digital plant solution; Industry X and Sales Lead Stéphane Piqué, who served as project lead; Managing Director Andrew Smith, who helped champion the project; and Managing Director René Wiedemann, who helped ensure Accenture’s sponsorship of the project.
Read more about how we helped Climeworks apply leading-edge technology to filter global CO2 emissions.
Learn more about Technology Careers.
My typical working day includes collaborating with the analytics team to pull and shape data, develop the data science model, assess results and pull together proofs of concepts.
On the Climeworks project, I worked closely with offshore teams to integrate the data science model into the digital plant, which meant lots of internal meetings to discuss data structure, data flow and data integration. We also had daily external scrum calls with the client to discuss the engineering design of the CO2 capture plant.
“My typical day: collaborating with data analytics team, developing a data-science model, assessing results and proofs of concepts.”
Data science projects with an engineering focus always require more client engagement to bridge the gap between engineers’ and data scientists’ mindsets. Always explain and present your work in the client’s engineering language.
Posted more than 1 month ago
Posted more than 1 month ago
Posted more than 1 month ago
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