Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Consulting Engineer at MongoDB | Data Scientist
Secteur d’activité
Technology / Software / Internet
À propos
Consultant / developer / data scientist focused on data products and predictive modeling enabled by machine learning and related technologies.
Specialties:
✭ Pivots and new product development within startups
✭ Product direction informed by technology analysis
✭ Cross-faction influence and multidisciplinary team building
Tools and techniques:
► Machine Learning, Natural Language Processing, Probabilistic Graphical Models, Neural Networks
► MongoDB, Spark / BDAS, MapReduce
► Scala, Python, R, MATLAB
J’aime
(47)Scala Days San Francisco
Martin Odersky
•
il y a 9 ans
What do you mean, Backwards Compatibility?
Trisha Gee
•
il y a 10 ans
What do you mean, Backwards Compatibility?
Trisha Gee
•
il y a 10 ans
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
il y a 9 ans
The Hitchhiker's Guide to Machine Learning with Python & Apache Spark
Krishna Sankar
•
il y a 9 ans
Mongodb - Scaling write performance
Daum DNA
•
il y a 11 ans
The Evolution of Scala
Martin Odersky
•
il y a 9 ans
Deep C
Olve Maudal
•
il y a 12 ans
Dr scalalove: How I learned to stop worrying and love the functions
Dianne Marsh
•
il y a 10 ans
Introduction to Big Data/Machine Learning
Lars Marius Garshol
•
il y a 10 ans
The Modern Java Web Developer - Denver JUG 2013
Matt Raible
•
il y a 11 ans
Scala dreaded underscore
RUDDER
•
il y a 13 ans
Scalable and Flexible Machine Learning With Scala @ LinkedIn
Vitaly Gordon
•
il y a 11 ans
Tartiflette
Sylvain Kalache
•
il y a 13 ans
MAD Skills: New Analysis Practices for Big Data
Christan Grant
•
il y a 12 ans
Git Branching Model
Lemi Orhan Ergin
•
il y a 11 ans
The Model and the Train Wreck - A Training Data How-To -- @mrogati's talk at Strata 2012
Monica Rogati
•
il y a 12 ans
Rapid Prototyping
Matthew Shoup
•
il y a 11 ans
Skills, Reputation, and Search
Peter Skomoroch
•
il y a 10 ans
HOW TO DO AI IN 2013 from Roadmap 2012
Gigaom
•
il y a 11 ans
Matrix methods for Hadoop
David Gleich
•
il y a 11 ans
Sparse matrix computations in MapReduce
David Gleich
•
il y a 10 ans
7 SlideShare Secrets by @ross
Ross Mayfield
•
il y a 11 ans
Big Data in Texas: Then, Now, and Ahead
Paco Nathan
•
il y a 11 ans
Design Like DaVinci
Brian Sullivan
•
il y a 11 ans
RNA-seq Analysis
COST action BM1006
•
il y a 11 ans
Precog & MongoDB User Group: Skyrocket Your Analytics
MongoDB
•
il y a 11 ans
Functional programming for optimization problems in Big Data
Paco Nathan
•
il y a 11 ans
Building Scalable, Highly Concurrent & Fault Tolerant Systems - Lessons Learned
Jonas Bonér
•
il y a 11 ans
How to Interview a Data Scientist
Daniel Tunkelang
•
il y a 11 ans
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Consulting Engineer at MongoDB | Data Scientist
Secteur d’activité
Technology / Software / Internet
À propos
Consultant / developer / data scientist focused on data products and predictive modeling enabled by machine learning and related technologies.
Specialties:
✭ Pivots and new product development within startups
✭ Product direction informed by technology analysis
✭ Cross-faction influence and multidisciplinary team building
Tools and techniques:
► Machine Learning, Natural Language Processing, Probabilistic Graphical Models, Neural Networks
► MongoDB, Spark / BDAS, MapReduce
► Scala, Python, R, MATLAB