Personal Information
Entreprise/Lieu de travail
Singapore Singapore
Profession
Lead Data Scientist, Implementing data and ML systems in production
Secteur d’activité
Technology / Software / Internet
Site Web
eugeneyan.com
À propos
Eugene is a hands-on lead data scientist with a record of planning and executing data strategy, deploying multiple data and ML systems globally, and delivering measurable value (millions in revenue, customer acquisition).
As DS manager, he's scaled and mentored teams through hypergrowth and is effective in levelling up junior-mid level members. He collaborates with business, engineering, product, etc. to execute data roadmaps at scale. Focuses on end-to-end: (i) defining scope, (ii) data acquisition, analysis, preparation, (iii) ML, (iv) production.
Mots-clés
data science
data
lazada
big data
analytics
machine learning
r
statistics
recsys
recommender
dssg
datascience sg
design
system
collaborative filtering
random walk
word2vec
nlp
graph
healthcare
health tech
deep learning
scale
superapp
daraz
gojek
grab
wechat
alibaba
asia
olx
keynote
tech
product
scaling
smu
culture
experiment
social science
competition
performance
psychology
ranking
hadoop
data engineering
kafka
ecommerce
spark
learning
insurance
volunteer
non-profit
datakind
gephi
social network analysis
kaggle
nielsen
location analytics
marketing
analytics; social media; twitter; python; r
statistics; r;
education; analysis
Tout plus
Présentations
(21)J’aime
(1)Data science challenges in flight search
Data Science Society
•
il y a 8 ans
Personal Information
Entreprise/Lieu de travail
Singapore Singapore
Profession
Lead Data Scientist, Implementing data and ML systems in production
Secteur d’activité
Technology / Software / Internet
Site Web
eugeneyan.com
À propos
Eugene is a hands-on lead data scientist with a record of planning and executing data strategy, deploying multiple data and ML systems globally, and delivering measurable value (millions in revenue, customer acquisition).
As DS manager, he's scaled and mentored teams through hypergrowth and is effective in levelling up junior-mid level members. He collaborates with business, engineering, product, etc. to execute data roadmaps at scale. Focuses on end-to-end: (i) defining scope, (ii) data acquisition, analysis, preparation, (iii) ML, (iv) production.
Mots-clés
data science
data
lazada
big data
analytics
machine learning
r
statistics
recsys
recommender
dssg
datascience sg
design
system
collaborative filtering
random walk
word2vec
nlp
graph
healthcare
health tech
deep learning
scale
superapp
daraz
gojek
grab
wechat
alibaba
asia
olx
keynote
tech
product
scaling
smu
culture
experiment
social science
competition
performance
psychology
ranking
hadoop
data engineering
kafka
ecommerce
spark
learning
insurance
volunteer
non-profit
datakind
gephi
social network analysis
kaggle
nielsen
location analytics
marketing
analytics; social media; twitter; python; r
statistics; r;
education; analysis
Tout plus