Natalino Busa
149
Abonné
Personal Information
Entreprise/Lieu de travail
Singapore Singapore
Profession
Director, Data Science and Analytics
Secteur d’activité
Finance / Banking / Insurance
Site Web
www.natalinobusa.com
À propos
All-round Principal Data Scientist, CTO and Digital Innovator with 15+ years experience in development, management and research of data algorithms, distributed architectures and scalable data-intensive services and applications.
Proficient at translating CxO strategies into data-driven, customer-centric solutions. Delivering data analytics pipelines on state-of-the-art data architectures. I have 10+ years of experience in data analysis in Python, R and Scala . I work regularly with Spark, Jupyter, and Akka.
Mots-clés
big data
cassandra
spark
data science
analytics
hadoop
akka
machine learning
python
api
scala
data exploration
jupyter
ai
core banking systems
streaming computing
realtime processing
hive
bigdata
tensorflow
keras
ml
cloud
deep learning
banking
finance
data
spray
edw
lambda architecture
algorithms
streaming
storm
devops
mnist
web
ui
containers
nlp
tda
databases
linguistics
compliance
auditing
social networks
trends
apache
lucene
solr
ibm
programming
design
hdfs
angularjs
mapreduce
apache hadoop
tools
data wrangling
map-reduce
r
random forests
cbs
apidays
big
trending
review
nosql
strata
parallel computing
distributed computing
marz
boner
gigaspaces
memory computing
pic
marketing
bi
map reduce.
ci
hbase
businness intelligence
olap
otap
Tout plus
- Présentations
- Documents
- Infographies
WTF - Why the Future Is Up to Us - pptx version
Tim O'Reilly
•
il y a 7 ans
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
il y a 8 ans
Algorithmic Music Recommendations at Spotify
Chris Johnson
•
il y a 10 ans
Innovation vs. Creativity
Saneel Radia
•
il y a 10 ans
Deep neural networks
Si Haem
•
il y a 12 ans
Big Data visualization with Apache Spark and Zeppelin
prajods
•
il y a 9 ans
Hive on spark is blazing fast or is it final
Hortonworks
•
il y a 9 ans
Primary and secondary needs
Araullo University
•
il y a 12 ans
Streaming Big Data with Spark, Kafka, Cassandra, Akka & Scala (from webinar)
Helena Edelson
•
il y a 9 ans
10 Lessons Learned from Building Machine Learning Systems
Xavier Amatriain
•
il y a 9 ans
Comparison of MPP Data Warehouse Platforms
David Portnoy
•
il y a 11 ans
Deep Learning Computer Build
PetteriTeikariPhD
•
il y a 7 ans
Solr and Elasticsearch, a performance study
Charlie Hull
•
il y a 9 ans
Start Smarter with a Concept Diagram
Scott Kubie
•
il y a 10 ans
[Tutorial] building machine learning models for predictive maintenance applications - Yan Zhang
PAPIs.io
•
il y a 8 ans
Topological data analysis
Sunghyon Kyeong
•
il y a 9 ans
Development vs growth (L9)
Farha Sharmin
•
il y a 12 ans
Anatomy of an Effective Website Redesign
Primacy
•
il y a 9 ans
Apache Flink: API, runtime, and project roadmap
Kostas Tzoumas
•
il y a 9 ans
Single-Page-Application & REST security
Igor Bossenko
•
il y a 9 ans