Maya H Hristakeva

Machine Learning Engineering Manager - Personalization

Maya H Hristakeva is a high-level expert, who works in Elsevier as a Data Science Manager from 2018. This person gained professional experience in more than ten positions at various companies. Maya H Hristakeva went to the University of California, Santa Cruz and received education there from 2007 to 2009. Des Moines, Iowa is the city, where this person was lastly known to be living. Their phone and email can be easily accessed through SoftwareOfficial on demand.
Name variants:
Maya Hristakeva
Last updated Jan 03, 2024

Contact Information

Last Update
Jul 8, 2022
Email
mh**@gmail.com, ma**@relx.com
Location
Des Moines, IA
Company
Elsevier

Workplace

Data Science Manager

Work History

Data Science Manager

Elsevier is a global leader of information & content solutions and is the parent company of Mendeley. In this role, I Provided technical leadership, guidance and direction related to Data ...
Aug 2018 — Mar 2019

Machine Learning Engineering Manager - Personalization

from Mar 2019

Lead Data Scientist

In this role, I worked on a number of recommender systems products (e.g. people recommender, personalised and non-personalised article recommenders, etc) from the underlying data and algori...
Apr 2018 — Jun 2018

Senior Data Scientist

Mendeley was a startup that was acquired by Elsevier. In this role, I worked on building a range of data products including people and article recommenders, metadata extraction from pdfs, an...
Dec 2013 — Jan 2016

Senior Research Scientist

475 Park Ave south, New York, NY 10016
Developed machine learning models for website and dynamic creative optimisation, using online learning and reinforcement learning techniques such as Bayesian logistic regression, Thompson sa...
Apr 2012 — Dec 2013

Data Mining Engineer

Worked on a scalable recommendations system for scientific material, as well as on improving the company's article de-duplication system, which generates Mendeley's catalogue of research pap...
Sep 2010 — Apr 2012

Applied Research Engineer

6375 San Ignacio Ave, San Jose, CA 95119
Member of a small team developing algorithms for continuous non-invasive measurement of blood sugar in people. I worked on analyzing high-dimensional spectroscopic data and creating accurate...
Apr 2008 — Jun 2010

Graduate Researcher

1156 High St, Santa Cruz, CA 95064
Specialized in online learning, as well as, fast and scalable implementations of machine learning and optimization algorithms.
Jan 2008 — Mar 2010

Software Engineer

420 Montgomery St, San Francisco, CA 94129
Jun 2006 — Jun 2007

Applications Developer

2727 Grand Pr Pkwy, Waukee, IA
Dec 2004 — May 2006

Education

Occupations

Engineer
Engineering Manager
Executive
Technology Manager
IT Professional
Data Analyst
Manager
Leader
Technical Managers
Data Entry Specialist
Data Scientist
Operations Manager
Managers

Skills

Machine Learning
Hadoop
Data Mining
Algorithms
Java
Big Data
Recommender Systems
Information Retrieval
Mapreduce
Data Science
Hbase
Mahout
Amazon Web Services
Scalability

FAQs about Maya H Hristakeva

What's the profession of Maya H Hristakeva?

This professional's job is Machine Learning Engineering Manager - Personalization

What jobs is Maya H Hristakeva a professional at?

The expert is proficient at such jobs as Engineer and Engineering Manager.

Where does Maya H Hristakeva live?

Des Moines, Iowa is the place where Maya H Hristakeva lives

What is Maya H Hristakeva's email?

Maya's email is mh**@gmail.com and ma**@relx.com.

Where did Maya H Hristakeva work?

The professional worked at Elsevier, Spotify.

Where has Maya H Hristakeva studied?

Maya studied at the University of California, Santa Cruz from 2007 to 2009.

What is the industry that Maya H Hristakeva worked in?

This professional works in Information Services industry.

Are there any special skills, that Maya H Hristakeva has?

This professional has the following skills: Machine Learning, Hadoop, Data Mining, Algorithms, Java, Big Data, Recommender Systems, Information Retrieval, Mapreduce, Data Science, Hbase, and Mahout.
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