09/06/2022 updated
100 % available
ML Engineer
London, United Kingdom
United Kingdom
MSc Data Science, DistinctionJava (Programming Language)Artificial IntelligenceConsultingPython (Programming Language)SQL DatabasesFriendlinessData Science
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I aim to incorporate AI into your business, and make it useful in the real world. This means getting the most out of the data that you have, within the context of the systems you have already built. I have not only worked on terabyte-scale data and productionised ML models, but also created user-friendly visualisations so that all insights can be actioned much more confidently.
I aim to incorporate AI into your business, and make it useful in the real world. This means getting the most out of the data that you have, within the context of the systems you have already built. I have not only worked on terabyte-scale data and productionised ML models, but also created user-friendly visualisations so that all insights can be actioned much more confidently.
Languages
EnglishNative speaker
Project history
Initiated the startup's data science function. I grew out the team and designed and implemented the architecture behind the ML systems. This streamlined development work and led to ongoing LTV, Retention, ARPU and IMPU improvements.
Productionised ML models in both the cloud and edge (mobile) devices, embedded within our SDK. Models include predicting LTVs, categorising new games based on their screenshots and an optimised monetisation setup for games.
Integrated segmentation within AB Testing, so that each user segment can be served the optimal player experience.
Evangelised good research practices, enabled data-driven decisions and fostered a fun and collaborative culture.
Productionised ML models in both the cloud and edge (mobile) devices, embedded within our SDK. Models include predicting LTVs, categorising new games based on their screenshots and an optimised monetisation setup for games.
Integrated segmentation within AB Testing, so that each user segment can be served the optimal player experience.
Evangelised good research practices, enabled data-driven decisions and fostered a fun and collaborative culture.
Grew the company’s Data Science department, and managed the Operational Data Science team.
Designed, implemented and maintained robust infrastructure and pipelines for massive data processing and analysis using Spark, GraphFrames, Oozie, Yarn and Zeppelin.
Increased ROI of marketing spend by 20%+ YOY by creating a bespoke marketing attribution system that tracks the conversion metrics of marketing at a granular level.
Designed, implemented and maintained robust infrastructure and pipelines for massive data processing and analysis using Spark, GraphFrames, Oozie, Yarn and Zeppelin.
Increased ROI of marketing spend by 20%+ YOY by creating a bespoke marketing attribution system that tracks the conversion metrics of marketing at a granular level.