Nelson Chan

I am an experienced data scientist and machine learning engineer with over 7 years of experience applying data science and machine learning techniques to solve complex business challenges across various industries.

I hold an MSc in Space Technology from University College London, where I developed strong analytical skills and a passion for exploring new technologies. My academic background in physics informs my rigorous and methodical approach to data science projects.

As a lead data scientist at BT Openreach, I currently lead projects leveraging AI and geospatial data analytics to optimise network planning and engineering operations. I have a track record of delivering impactful solutions, including developing an AI computer vision solution to detect network faults from drone imagery.

Previously at Avanade, I worked on projects across sectors including energy, real estate, and government. Highlights include building an object detection model to automate species monitoring for ecological conservation, processing over 1 million customer documents using deep learning techniques, and developing predictive pricing models for the real estate industry.

I am experienced leading Agile delivery teams, translating business needs into technical solutions, and collaborating cross-functionally to ensure successful outcomes. I advocate for and mentor junior data professionals to grow their skills.

On a technical level, I have expertise across the full data science stack including data engineering, advanced machine learning, MLOps, and cloud platform services. I pick up new technologies quickly and am always aiming to expand my skills.

I take great pride in my work and consistently seek to deliver high impact data products that exceed expectations. I am looking to join an innovative company where I can apply my passion for data science to create business value and enable data-driven decision making.