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WTW Advanced Analytics Practice (Internel (Project Management (end2end…
WTW Advanced Analytics Practice
Internel
IT Infrastructure
OS: Linux (Virtual Box), Windows
Language: Python, R
Virtual Environment: Anaconda
Remote Desktop, Cloud(GCP, Azure, Amazon)
Team building
train 1-2 junior data scientist/apprentics
learning organisation: real projects -> self learning -> experience sharing -> real projects
Internal stakeholders
show&tell: 1/month
Open courses, ML&AI hackthorn
Project Management
end2end Simple& fully automatic& scalable &robust(No IT Involvement) solutions to stakeholders
project version control: GitLab
university platform: stack overflow, share solutions
benchmark: ML (80%) better; premium £, difference (NLP, DL for unstructured datasets: text, images, etc.), How can we differentiate ourselves to our competitors on the market?
documentation modeling
Business Development
horizontal: claims, underwriting, pricing, etc.
? vertical: Reinsurance
Externel
stakeholders with Emblem&Radar: Python -> pmml -> deployment
stakeholders w/t Emblem&Radar: Python -> Flask (Data Engineer)/RShiny Dashboard(No IT Involvement)
?build new deployment platform: McKinsey, Accenture
End2end cloud deployment: Amazon, GCP -> JP
Target: Provide Better Solutions Faster & Cheaper
Cost Control, Customer Centricity