Netochukwu’s journey into technology began with a deep interest in computers and mathematics, which led him to pursue a degree in Mathematics. This strong foundation, combined with a passion for problem-solving, inspired him to deepen his knowledge further, and led to him studying for a Master’s degree in Applied Mathematics. During his postgraduate studies and early career in finance and research, he developed a love for data-driven solutions, which motivated him to specialise further in AI and Data Analytics through another Master’s degree.
As a data scientist at LIDA, Netochukwu is part of an institute that aligns perfectly with his career goals. This role allows him to collaborate with talented professionals, learn from leading experts, and contribute to impactful projects across various sectors, including healthcare, business and crime prevention. Netochukwu is passionate about how data science can drive innovations in sustainability and public good.
Netochukwu’s research interests lie at the intersection of mathematics, data science, and social impact. These include exploring statistical methods, AI, and Machine Learning techniques to identify patterns, predict trends, and generate insights that can inform policy decisions and community interventions. He is also keen on Machine Learning Operations, and seeks to improve the deployment, monitoring, and management of machine learning models to ensure their effectiveness and reliability in real-world applications. Additionally, Netochukwu is interested in the ethical implications of data use, ensuring that technology serves to enhance equity and inclusivity in society.
Netochukwu’s passion for sustainability drives his exploration of how data analytics can be leveraged to foster environmentally conscious practices across different sectors.
At the Vulnerability & Policing Futures Research Centre, Netochukwu will focus on developing and implementing analytical techniques to analyse crime and community safety indicators. His work will involve utilising publicly available datasets, such as anonymised crime data and demographic information, including data from the Leeds City Council to prototype methods that help identify neighbourhood-specific challenges and emerging safety issues. Netochukwu aims to create tools that support local authorities in making informed decisions about resource allocation and policy interventions.
Additionally, Netochukwu will collaborate closely with the Safer, Stronger Communities Team from Leeds City Council, ensuring that the project’s methods align with real-world needs and challenges. This partnership will enable the team to prototype visualisations that can be integrated into interactive dashboards, making complex data accessible and actionable for practitioners. Netochukwu’s goal is to contribute to meaningful research that enhances community safety and supports the overall wellbeing of vulnerable populations.