Location: Nairobi, Kenya
Event Date: 22-Jun-2019
Participate: Application (closed)
GitHub repo: nairobi-2019-scikit-sprint
Twitter Moment: WiMLDS Nairobi 2019 Scikit-learn Sprint
- Scikit-learn Sprint at Nairobi, Kenya by Adrin Jalali, scikit-learn core contributor
- Highlights from the 2019 Nairobi WiMLDS Scikit-learn Sprint by Mariam Haji, Nairobi WiMLDS organizer
Report: [available post-event]
Reshama is a statistician and MBA with skills in Python, R and SAS. She worked for over 10 years as a biostatistician in the pharmaceutical industry. She currently does freelance data science / statistics work in New York City. She received her M.S. in statistics from Rutgers University and her M.B.A. from NYU Stern School of Business.
Mariam is UI/UX designer at Africa's Talking passionate about data science. In her spare time she helps organizing meet-ups of Nairobi Women in Machine Learning and Data Science, she also supports community members interested in Python. Her passion is both teaching about data but also playing with it herself. What Mariam says about her interest in DS? "My curiosity about data science sparked when I joined a cognitive course by IBM - the more I learnt about data science methods and its possibilities, the more I got interested. My goal is to work in medical research and build models supporting both doctors and patients."
Adrin grew up in Iran, where he did my bachelors and masters in computer science/bioinformatics. After a while of being in the industry he moved to Vancouver, Canada for his PhD program. Next, he moved to Germany to finish his PhD dissertation at a Max Planck Institute in Saarbruecken. In 2016 Adrin moved to Berlin and he's been working as a data science consultant. He co-organizes PyData Berlin, and spends a lot of time contributing to scikit-learn, as a core developer.
Andreas is an Associate Research Scientist at the Data Science Institute at Columbia University and author of the O'Reilly book "Introduction to machine learning with Python", describing a practical approach to machine learning with python and scikit-learn. He is one of the core developers of the scikit-learn machine learning library, and he has been co-maintaining it for several years. He's also a Software Carpentry instructor.
Catherine is a Data Scientist at Africa's Talking and volunteers for the Nairobi Women in Machine Learning and Data Science chapter. She's been working on projects around data for a little over 3 years now, and she always tries as much as possible to share her knowledge with the community. Her passion for data science started after attending the Nairobi Tech Week in 2016 where she was trying to figure out how she could make best use of her Mathematics and Computer Science degree. Her current interest is a use of Natural Language Processing to transform customer experience and support businesses' strategy.
Ben works as a Data Scientist at Africa's Talking: he loves to leverage various technologies to understand phenomena in life science and other disciplines. As well as do competitions on drivendata.org and Kaggle.com on a variety of topics such as predictive modelling and personalized medicine, to mention a few. Ben is also a diversity fellow who attended the Deep Learning Part I and Part II also known as Fast.ai course at the University of San Francisco in Fall and Spring in person.
Isaac is a web developer, a Python Software Engineer and an aspiring Data Scientist. His drive is a passion, commitment and productivity, with a strong desire and ambition to be a catalyst of positive change in the society by providing solutions for diagnosed challenges. He enjoy learning new skills and keeping track of changing technology, he also appreciates learning from more experienced professionals in order to perform better.
Muoki Caleb is a Data Scientist passionate about using data to positively impact society and improve the quality of life. He achieves this by doing research, engaging relevant stakeholders and building solutions that address the issue. He is a Peer Mentor at Kamilimu, where he works with mentees in their professional and personal development.