Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
TitleDirector of Software Engineering, ML@Salesforce Einstein
Secteur d’activité
Technology / Software / Internet
À propos
I lead a team of software engineers in San Francisco building various customer facing ML products in both Pardot Einstein (ex: https://www.pardot.com/solutions/b2b-marketing-automation/artificial-intelligence/) and Sales Cloud Einstein (https://www.salesforce.com/products/sales-cloud/features/sales-cloud-einstein/). My team owns the complete end-to-end machine learning pipeline, including data science exploration, feature engineering, model building and deployment, that powers features in the above products.
Mots-clés
data science
hawq
sentiment analysis
madlib
pivotal
datascience
spark
greenplum database
natural language processing
pl/python
topic modeling
explainability
pardot
salesforce
machinelearning
einstein
apache hawq
predictive maintenance
redis
apache madlib
greenplum
apache geode
spring cloud dataflow
machine learning
sklearn
cloud foundry
python
text analytics
predictive analytics
internet of things
internet of humans
sensor data
hadoop
big data suite
big data
citizen science
emc
twitter
commodity futures
classification
regression
pivotal data labs
scikit-learn
data parallelism
pl/r
pyspark
pivotal hadoop
lda
traffic prediction
Tout plus
Présentations
(10)J’aime
(3)Recsys 2016 tutorial: Lessons learned from building real-life recommender systems
Xavier Amatriain
•
il y a 7 ans
Introduction to Deep Learning with Python
indico data
•
il y a 9 ans
Practical Sentiment Analysis
People Pattern
•
il y a 10 ans
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
TitleDirector of Software Engineering, ML@Salesforce Einstein
Secteur d’activité
Technology / Software / Internet
À propos
I lead a team of software engineers in San Francisco building various customer facing ML products in both Pardot Einstein (ex: https://www.pardot.com/solutions/b2b-marketing-automation/artificial-intelligence/) and Sales Cloud Einstein (https://www.salesforce.com/products/sales-cloud/features/sales-cloud-einstein/). My team owns the complete end-to-end machine learning pipeline, including data science exploration, feature engineering, model building and deployment, that powers features in the above products.
Mots-clés
data science
hawq
sentiment analysis
madlib
pivotal
datascience
spark
greenplum database
natural language processing
pl/python
topic modeling
explainability
pardot
salesforce
machinelearning
einstein
apache hawq
predictive maintenance
redis
apache madlib
greenplum
apache geode
spring cloud dataflow
machine learning
sklearn
cloud foundry
python
text analytics
predictive analytics
internet of things
internet of humans
sensor data
hadoop
big data suite
big data
citizen science
emc
twitter
commodity futures
classification
regression
pivotal data labs
scikit-learn
data parallelism
pl/r
pyspark
pivotal hadoop
lda
traffic prediction
Tout plus