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Mulanga is the Data Science and AI Team Manager at E.ON Next, overseeing Debt and Credit Risk data. With nearly a decade of experience in the data field, she has worked across a variety of industries—including consulting, startups, telecommunications, and now a company in its scale-up phase. This diverse experience has given her a unique perspective on how the data landscape evolves as companies grow. Mulanga is passionate about enabling organizations to become truly data-driven, applying her skills to ensure data empowers better decision-making at every stage. Beyond her professional achievements, she is a dedicated wife and mother of two young children. Growing up as a Black woman in post-apartheid South Africa, Mulanga is deeply committed to inclusive leadership. She actively fosters environments where all voices, especially those from marginalized communities, feel safe and empowered to contribute. Her educational background includes a degree in Mathematics and Statistics from the University of Cape Town, Africa’s leading university, and a Master’s degree in Applied Mathematics with a focus on computer vision, a branch of machine learning. Mulanga brings both technical expertise and a strong sense of social responsibility to her role, creating spaces where innovation and inclusion thrive.
Bio from: Big Data LDN 2025
Talks & appearances
2 activities · Newest first
As AI adoption accelerates internationally, so does its environmental footprint. But what if the same technology driving innovation could also help reduce its own impact?
From greener data infrastructure to renewable energy and smarter home tech, join us for this insightful 30-minute session with E.ON Next as they share how they are rethinking AI through an increasingly climate-conscious lens.
Powered by: Women in Data®
As data becomes the currency of the modern economy, the ability to build and scale high-performance data capability is essential to set businesses up for their transformation journey. Yet, the average tenure of a data professional is less than 2 years. Join a panel discussion led by Anush Newman, CEO of JMAN Group, where a broken excel sheet led to a 400 person data business with an~80% retention rate at 2 years.
He will draw out the perspectives and lived experiences of this esteemed panel of data practitioners representing a breadth of disciplines and seniorities, who face in to this challenge. They will delve into best practices for engaging diverse talent from a range of backgrounds, driving continuous learning, career transition and implementing frameworks that enable teams to adapt to rapidly changing demands and technologies. This session will look to share actionable strategies to transform your data capabilities into a powerful engine for innovation and growth.