Personal Information
Organization / Workplace
Moscow, Russian Federation Russian Federation
Occupation
Head of data science team, Recommender systems, rzykov@gmail.com
Website
kpis.ru
About
Data scientist & Analytics engineer working with Big Data sets.
Main interest is a Recommender System development: Frameworks, Algorithms, Offline/online testing.
My tools - Hadoop cluster with Spark. Our primary language is Scala.
I can consult interested projects for free.
Public speaker at conferences:
- Sep 2016, Boston - ACM RecSys confrence - Hypothesis Testing: How to Eliminate Ideas ASAP
- Mar 2014, Moscow - Global Entrepreneurship Congress - More Opportunities of Big Data
- Oct 2013, Dublin Ireland - Data for startups - Big Data & Analytics Innovation Summit
- Nov 2012, Moscow - Highload 2012
- Sep 2012, London - Big Data World
Specialties: Data Science, Machin...
Tags
hadoop
recommendation engine
apache hadoop
e-commerce
kpi
-
recsys2016
big data
retailrocket
spark
hadoop big data
item to item
hadoop bigdata case
bigdata
wikimart
bi
webanalytics
See more
Presentations
(28)Documents
(3)Likes
(27)Recent Trends in Personalization at Netflix
Justin Basilico
•
3 years ago
Deep Learning for Recommender Systems
Justin Basilico
•
6 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
Deep Style: Using Variational Auto-encoders for Image Generation
TJ Torres
•
8 years ago
Extending Word2Vec for Performance and Semi-Supervised Learning-(Michael Malak, Oracle)
Spark Summit
•
8 years ago
Scala Data Pipelines for Music Recommendations
Chris Johnson
•
9 years ago
PyData: The Next Generation
Wes McKinney
•
9 years ago
Recsys 2014 Tutorial - The Recommender Problem Revisited
Xavier Amatriain
•
9 years ago
Apache Hadoop YARN: best practices
DataWorks Summit
•
9 years ago
Efficient Data Storage for Analytics with Apache Parquet 2.0
Cloudera, Inc.
•
9 years ago
Genomics Is Not Special: Towards Data Intensive Biology
Uri Laserson
•
9 years ago
CRM-digest
GRAPE
•
10 years ago
The "Big Data" Ecosystem at LinkedIn
Sam Shah
•
10 years ago
imu2010 - Интернет-мерчендайзинг. Методы сбора и анализа данных. Флакс, Овокс
UAMASTER Digital Agency
•
13 years ago
Strata 2013 - LinkedIn Endorsements: Reputation, Virality, and Social Tagging
Sam Shah
•
11 years ago
Culture
Reed Hastings
•
14 years ago
Владислав Флакс "Как Big Data делает вашу жизнь лучше"
Yandex
•
11 years ago
hadoop @ Ibmbigdata
Eric Baldeschwieler
•
12 years ago
Collaborative filtering at scale
huguk
•
13 years ago
HBase and Hadoop at Adobe
Cosmin Lehene
•
13 years ago
NoSQL at Twitter (NoSQL EU 2010)
Kevin Weil
•
14 years ago
Guess the Outcome of 15 Tests
Lars J
•
14 years ago
AddVenture бизнес-модели
Eduson.tv
•
14 years ago
E-Marketplace V1.10
Pawoot (Pom) Pongvitayapanu
•
15 years ago
eBay 2009 Analyst Day
Phil Wolff
•
15 years ago
eCommerce Summit eBay Keynote Presentation
eCommerce Merchants
•
14 years ago
Personal Information
Organization / Workplace
Moscow, Russian Federation Russian Federation
Occupation
Head of data science team, Recommender systems, rzykov@gmail.com
Website
kpis.ru
About
Data scientist & Analytics engineer working with Big Data sets.
Main interest is a Recommender System development: Frameworks, Algorithms, Offline/online testing.
My tools - Hadoop cluster with Spark. Our primary language is Scala.
I can consult interested projects for free.
Public speaker at conferences:
- Sep 2016, Boston - ACM RecSys confrence - Hypothesis Testing: How to Eliminate Ideas ASAP
- Mar 2014, Moscow - Global Entrepreneurship Congress - More Opportunities of Big Data
- Oct 2013, Dublin Ireland - Data for startups - Big Data & Analytics Innovation Summit
- Nov 2012, Moscow - Highload 2012
- Sep 2012, London - Big Data World
Specialties: Data Science, Machin...
Tags
hadoop
recommendation engine
apache hadoop
e-commerce
kpi
-
recsys2016
big data
retailrocket
spark
hadoop big data
item to item
hadoop bigdata case
bigdata
wikimart
bi
webanalytics
See more