Personal Information
Unternehmen/Arbeitsplatz
Singapore Singapore
Beruf
Director, Data Science and Analytics
Branche
Finance / Banking / Insurance
Webseite
www.natalinobusa.com
Info
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.
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big data
cassandra
spark
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hadoop
akka
machine learning
python
api
scala
data exploration
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core banking systems
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Präsentationen
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(66)WTF - Why the Future Is Up to Us - pptx version
Tim O'Reilly
•
Vor 7 Jahren
Streaming Analytics
Neera Agarwal
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Vor 7 Jahren
Real-time Streaming Analytics for Enterprises based on Apache Storm - Impetus StreamAnalytix Webinar
Impetus Technologies
•
Vor 9 Jahren
Stream Computing & Analytics at Uber
Sudhir Tonse
•
Vor 8 Jahren
Introduction to Streaming Analytics
Guido Schmutz
•
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Deep Learning Computer Build
PetteriTeikariPhD
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Vor 7 Jahren
Enterprise Scale Topological Data Analysis Using Spark
Spark Summit
•
Vor 7 Jahren
word2vec - From theory to practice
hen_drik
•
Vor 8 Jahren
[Tutorial] building machine learning models for predictive maintenance applications - Yan Zhang
PAPIs.io
•
Vor 8 Jahren
Real time data processing with spark & cassandra @ NoSQLMatters 2015 Paris
Duyhai Doan
•
Vor 9 Jahren
Extending Data Lake using the Lambda Architecture June 2015
DataWorks Summit
•
Vor 8 Jahren
The Future of Hadoop by Arun Murthy, PMC Apache Hadoop & Cofounder Hortonworks
Data Con LA
•
Vor 8 Jahren
10 Lessons Learned from Building Machine Learning Systems
Xavier Amatriain
•
Vor 9 Jahren
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
Vor 8 Jahren
Helsinki Spark Meetup Nov 20 2015
Chris Fregly
•
Vor 8 Jahren
Contexti / Oracle - Big Data : From Pilot to Production
Contexti
•
Vor 9 Jahren
Spark Summit EU 2015: Matei Zaharia keynote
Databricks
•
Vor 8 Jahren
Topological data analysis
Sunghyon Kyeong
•
Vor 9 Jahren
In-Memory Computing: Myths and Facts
DATAVERSITY
•
Vor 10 Jahren
Apache Flink: API, runtime, and project roadmap
Kostas Tzoumas
•
Vor 9 Jahren
Implementing the Lambda Architecture efficiently with Apache Spark
DataWorks Summit
•
Vor 9 Jahren
Have Your Cake and Eat It Too -- Further Dispelling the Myths of the Lambda Architecture
C4Media
•
Vor 9 Jahren
MillWheel Fault-Tolerant Stream Processing at Internet Scaleの意訳
x1 ichi
•
Vor 8 Jahren
A Data Frame Abstraction Layer for SparkR-(Chris Freeman, Alteryx)
Spark Summit
•
Vor 8 Jahren
PySpark Best Practices
Cloudera, Inc.
•
Vor 8 Jahren
Solr and Elasticsearch, a performance study
Charlie Hull
•
Vor 9 Jahren
Spark cassandra connector.API, Best Practices and Use-Cases
Duyhai Doan
•
Vor 9 Jahren
Beyond the Query: A Cassandra + Solr + Spark Love Triangle Using Datastax Enterprise (English)
DataStax Academy
•
Vor 8 Jahren
PegaWorld 2014 Presentation: The Government BPM Journey
Pegasystems
•
Vor 9 Jahren
Streaming Big Data with Spark, Kafka, Cassandra, Akka & Scala (from webinar)
Helena Edelson
•
Vor 9 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Singapore Singapore
Beruf
Director, Data Science and Analytics
Branche
Finance / Banking / Insurance
Webseite
www.natalinobusa.com
Info
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.
Tags
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
Mehr anzeigen