Become a Mentor
Mentors are essential to Ishango.ai’s data science programme. As a mentor, you will offer support, guidance, and expertise to Machine Learning masters graduates from Africa whilst they complete projects for international organisations. Your experience will be invaluable as you teach data scientists the soft-skills necessary to take them from highly skilled technicians to professionals. Become a mentor with Ishango.ai today to boost your career development and help the next generation of data scientists.
Become a Mentor
Mentors are essential to Ishango.ai’s data science programme. As a mentor, you will offer support, guidance, and expertise to Machine Learning masters graduates from Africa whilst they complete projects for international organisations. Your experience will be invaluable as you teach data scientists the soft-skills necessary to take them from highly skilled technicians to professionals. Become a mentor with Ishango.ai today to boost your career development and help the next generation of data scientists.
Why Become a Mentor?
Help to nurture the next generation of data scientists, guide them through the professional world
Boost your professional development and build your skillset by developing young data science talent
Connect with data science leaders and professionals with our global network of likeminded mentors
Volunteer to become a Data Science in Residence
We are constantly looking for Senior Data Scientists who are interested in volunteering their time to support aspiring data scientists in Ghana, Rwanda and beyond
Meet Our Mentors
Dr. Neil Dhir is a Principal Investigator at the Alan Turing Institute. He holds a D.Phil. in Engineering Science from the University of Oxford and M.Eng. in aeronautical engineering from Imperial College London. .
James is a research assistant at the Alan Turing Institute – the UK’s national institute for data science and artificial intelligence. He holds a Bsc in Data Science from the University of Warwick.
Daniella Tsar is a London based Senior Data Scientist at the Thomson Reuters Labs. She is an innovator with a global footprint and a passion for using data and AI-driven problem-solving to create tangible business value with inclusivity at heart.
Dr. Maaroof is an experienced data scientist and international development expert with more than twenty years of global work experience. This includes reputable teaching and research institutions and international development organisations.
Gerard is a talented Data Scientist with an interest in building data driven foundations for startups that leverage on AI. He is currently writing a book.
Principal Data Scientist at HSBC & Founder of London Women in Machine Learning & Data Science Chapter. A deep interest in revolutionary databases and smart handling of data.
Chris has a Master’s in Applied Mathematics from AIMS Rwanda and is currently doing a Ph.D. at Leibniz University, Hannover. His research interests are mainly Statistics and Deep Learning.
Data Scientist specialising in Natural Language Processing, with experience in education technology. Skilled in using machine learning and AI to provide insights into products and client profiles.
Dr. Lara Srivastava is a policy advisor, futurist, lawyer and technology foresight expert with over 25 years of experience working for and advising governments, industry, internet start-ups and international organizations.
Gosbert is Co-Founder and Head of Programmes at Startup Discovery School. He has spent the last 10 years working across the startup ecosystem in both Europe and Africa.
Jessica Irving is a data scientist at the UK Health Security Agency on the Wastewater Surveillance Programme and previous psychiatric researcher at King’s College London
Chih-Chun is a data scientist and complex systems scientist who has worked in research and commercial contexts, including Microsoft Research, University of Cambridge, CNRS, Yahoo, Deutsche Bank, and Cambridge Spark (which she co-founded)
Phoebe is a statistical programmer enthusiastic about data science, machine learning, and deep learning. She loves collaborating on projects incorporating machine learning and deep learning skills.
Jan is a data scientist, passionate about finding solutions to challenging problems. He has been a contributor to several scientific publications in top scientific journals including the New Journal of Physics and Nature Communications.
FAQs
Ishango.ai Mentees work on a broad range of data science projects. In previous cohorts our data scientists have worked on projects in the field of financial services, healthcare, agriculture & marketing. They have built recommender systems for online platforms and developed a machine learning model to predict mental health disease.
We appreciate our Mentors are busy and value the time they are able to give. There are a number of ways to support our data scientists including leading one-off skills development sessions on a specific topic. Sign up as a mentor and we can discuss an option that fits within your schedule.
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