Daniel Sim , London, United Kingdom

Leads innovation and performance
In over a decade of leading tech initiatives, I have seen that results come from the team when ideas can be freely shared, refined and pursued while keeping an eye on the strategic goals of the organisation.

At King I experienced "playfully serious" and paved the way for my team to have fun with work while ultimately delivering results. My passion is to create and sustain an environment of innovation paired with performance where a diversity of strengths create the sublime.


Pathfinder Software 6 mos • London
Interim Chief Data Scientist Apr 2018 - Oct 2018

• Classify 48 millions companies worldwide using NLP for career matching
• Develop psychometric tests using data from U.S. Bureau of Labor Statistics using clustering and similarity measures
• Implement search algorithms for career development articles like books, seminars, courses and news
• Create data workflows using Apache Spark cluster for analysis and search matching
• Work closely with CEO and CTO for successful soft-launch of web-based product


King Digital Entertainment 3yrs 1mo • Singapore/Barcelona
Machine Learning Scientist Jan 2017 - Aug 2017 • 8 mos

• Member of the Experiments Group, a team that tries out unconventional ideas using data science. Attributed to an increase of King's revenue by approximately a billion dollars over 2 years.
• Design and execute player segmentation experiments using player activity data with unsupervised learning
• Build Autoencoder Deep Neural Net with Tensorflow, Pandas and Scikit
• Feature engineering with Hive, Impala, Python, R
• Build framework to allow Jenkins to run player segmentation on the backend

Senior Game Engine Developer Jul 2016 - Apr 2017 • 10 mos
• Part of King's Shared Technology Group
• Work with "Fiction Factory" game engine team in support of other game production teams - Fiction Factory powers games that over 300 million players enjoy each month.