Cheuk Ting Ho

London

Bio

After spending 5 years doing research in theoretical physics at Hong Kong University of Science and Technology, Cheuk has transferred her analytical and logical skills in natural science and built a career in data science. After being a Data Scientist in one of the biggest worldwide wholesaler in travel business and Inawisdom, an AWS partnered consultancy which deliver machine learning model, Cheuk is now working in Pace, aiming to revolutionise revenue management with industry leading data and computer science.

Cheuk constantly contributes to the community by giving AI and deep learning workshops, organize sprints for open source projects, volunteering at Datakind for charities. At the same time contribute to open source projects including Pandas, Keras, Scikit-learn and Dateutil. Cheuk has also been a guest speaker at University of Oxford and Queen Mary University of London, and various conferences including PyData in Amsterdam and Berlin, PyCon in Israel, UK and Germany, EuroPython and PyLondinium. Believing in gender equality, Cheuk is currently a co-organizer of AI club for Gender Minorities to support Tech Diversity and Inclusion.


Public speaker in technology, example of my talk on YouTube: https://www.youtube.com/playlist?list=PLuyh0gfVhNpGJIV7jt122F1SmdZybzos4

GitHub: https://github.com/Cheukting

Slide Share: https://www.slideshare.net/CheukTingHo/presentations

Slides.com: https://slides.com/cheukting_ho

Speaker Bio: https://www.papercall.io/speakers/cheukting-ho

Twitter: https://twitter.com/cheukting_ho

LinkedIn: https://www.linkedin.com/in/cheukting-ho/

My Talks

AI and Algorithmic Art - Could computer take over human creativity?

Case Study in Travel Business - Time Series Analysis with Seasonal Data

Case Study in Travel Business - Understanding agent connections using NetworkX

Deep Learning with Keras : Building an AI that Talks like Shakespeare or Trump

Effect of sunlight on humans - unique things that I learnt form PyCon Namibia

Fuzzy Matching - Smart Way of Finding Similar Names Using FuzzyWuzzy

Git and GitHub for Data Scientists - What I learnt in Open Source Contribution

I am telling you 3 things about Chatbot (so you don't have to learn it the hard way)

If Errol Street Could Talk: Do we have a diversity problem in Python community?

Launch Jupyter to the Cloud: an example of using Docker and Terraform