MEET THE TEAM
EXPERIENCE
Lead Data Scientist
Finance and Insurance
Data Science Instructor
Udemy and Train in Data
Research Scientist
University College London, UK
Max Planck Institute, Germany
EDUCATION
2001-2005
University of Buenos Aires
PhD in Chemical Biology
1996-2001
University of Buenos Aires
MSc in Biological Sciences
AWARDS
Data Science and Analytics, 2018. Read about it here.
LinkedIn's Top Voice in Data Science, 2019. Read more
SOLEDAD GALLI, PhD
Lead Data Scientist and Instructor
Soledad Galli is a Lead Data Scientist with 10+ years of experience in world class academic institutions and renowned organisations. Sole researched, developed and put into production machine learning models for Insurance Claims, Credit Risk Assessment and Fraud Prevention. Sole has an MSc in Biology, a PhD in Biochemistry and authored many scientific publications in Cancer Research and Neuroscience. Sole also taught Biochemistry classes at the University of Buenos Aires, Argentina, for 4+ years.
Sole likes mentoring students and data scientists. She created Machine Learning courses which are available on Udemy and have enrolled thousands students worldwide. She regularly speaks in data science meetings and shares knowledge on machine learning through blogs and articles for the Data Science Community. She has recently created an open source Python package for feature engineering. Through Train in Data, she hopes to help more data scientist and non-profit organisations step into and excel in Data Science.
Sole is also passionate about using her skills for social good. Therefore, she engages with non-for profit organisations and individuals and supports them through the use of machine learning and scientific innovation in their efforts to deliver socially committed projects.
WATCH ON YOUTUBE
SOCIAL MEDIA
CHRIS SAMIULLAH
Lead AI Software Engineer and Instructor
Chris is a Lead Machine Learning Software Engineer at Babylon Health. He’s been writing code for eight years, and for the past three years, his work has focused on scaling machine learning applications. He has undertaken various roles in Health-tech, Fintech and consulting. Chris enjoys sharing ideas, and to that end he ran the Beijing Python meetup for two years, he regularly mentors junior developers, and continues to write software development tutorials and guides.
Chris is passionate about teaching in a way that minimizes the time to reach those "ah hah" moments, trying to reduce the time students spent searching online for concepts and code lines. Chris thinks that complexity is necessary for machine learning application in the real world, but too much complexity is overwhelming and counter-productive. He is therefore committed to help people find the right balance.
WEBSITES
EXPERIENCE
EDUCATION
Freelance software consultant
Healthtech, Fintech
Lead software engineer
Healthtech
Data Science Instructor and Mentor
Udemy and Train in Data
2010-2012
University of London
CERT HE Mathematics
2009-2010
Manchester Business School
MSc International Business
EXPERIENCE
EDUCATION
Lead Data Scientist
Cosulting and eCommerce
Data Science Instructor
Udemy and Train in Data
Research Scientist
University Southampton, UK
University of Warwick, UK
2005-2009
University of Leeds
PhD in Optical Metrology
2005
King's College, UK
MSc in Signal & Image Processing
AWARDS
Ambition and Achievement Award, UK Institute of Engineering & Technology
NATALIA C ANGARITA, PhD
Lead Data Scientist and Instructor
Natalia Angarita is a data scientist with over 10 years experience in the UK in the public, academic and private sectors covering multiple industries such as finance, retail, travel, government, operations, health, bio-medicine, among others. She is a winner of the Ambition and Achievement Award, from the UK Institute of Engineering & Technology.
As a data scientist, Natalia has developed and put machine learning models into production to evaluate risk levels and optimize application processing, for predicting churn of corporate banking clients, among others. Additionally, she has worked on customer segmentation in the retail and travel sectors, identifying emerging purchasing trends and evolving customer preferences.
Natalia has a master's degree in signal and image processing and a PhD in the development of algorithms for optical metrology applications. In addition, Natalia has over 6 years experience as a research scientist in areas of bio-medicine at the University of Southampton and the University of Warwick, UK. She is also the author of publications in high impact indexed journals including Nature Scientific Reports and international conferences, with highly cited articles.
Natalia is also passionate about teaching and contributes to different initiatives around technology and data science. Natalia has taught lessons for master's degrees in data science & biomedical engineering, participated in meetings and conferences on the development and application of algorithms, and has written articles available on the web.