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Ricky Macharm, MScFE
AI Researcher & Consultant | Data Science Instructor
Exploring machine learning, financial engineering, and NLP. Sharing knowledge through teaching, writing, and open-source.
About
About Me
Hey there! I’m Ricky, the brain behind SisengAI. It’s more than just a project — it’s my playground in the ever-exciting world of Data Science, Machine Learning, Financial Engineering, and NLP. My adventure in this realm kicked off in 2017, when I was 43 and stumbled upon the wonders of Python & pandas. It was a game-changer for me, shifting gears from my days as a maintenance engineer in Nigeria and dabbling in renewable energy consultancy across Nigeria and Ethiopia.
When the world paused during the pandemic, I turned to YouTube, sharing Python tricks and tips on my channel (check it out here). These days, you’ll find me at WorldQuant University in New Orleans, LA, where I teach data science. It’s a cool place, and you can learn more about it here.
Not just a man behind the screen, I’ve also been out and about, consulting for companies and people, spreading the data science cheer through seminars, and teaching both online and in-person. On this very website, you’ll discover a treasure trove of my published works, thought-provoking blog posts, and the latest buzz on my research projects.
Got questions? Ideas bubbling up? Or maybe a project you think we can collaborate on? Don’t hesitate to contact me. I’m all ears and ready to chat!
Journey
Education & Experience
A path from electrical engineering to financial engineering, with data science at the centre.
MSc in Financial Engineering
WorldQuant University
New Orleans, LA, USA
2021
B. Eng in Electrical & Electronics Engineering
Abubakar Tafawa Balewa University
Bauchi, Nigeria
2000
Data Science Instructor
WorldQuant University
Teaching data science in the Applied Data Science Lab.
2022–Present
Co-Author & Researcher
Masakhane
Participatory research for low-resourced machine translation in African languages.
2020–Present
Writing
Latest Posts
Thoughts on Python, data science, machine learning, and the craft of building things with code.
