victor ghadban

chief field data scientist

About

Bringing Artificial Intelligence to the World.

Country

united states

City

atlanta

Industry

computer software

Skill

integration, enterprise software, databases, sdlc, sales, leadership, hadoop, emerging technologies, management, saas, cloud computing, unix, professional services, agile methodologies, hdfs, software documentation, hortonworks, software as a service, tensorflow, docker, python, kubernetes, kerberos, amazon web services, microsoft azure, google cloud platform, machine learning, artificial intelligence, convolutional neural networks, recurrent neural networks, reinforcement learning, deep neural networks, image analysis, natural language processing

Experience

field chief technology officer ai and ml

hewlett packard enterprise

2019-4 - Present · 7 yrs 6 mos

technical sales

anaconda, inc.

2018-3 - 2019-4 · 1 yr 2 mos

chief field data scientist

explorium

2020-4 - Present · 6 yrs 6 mos

technical sales

cloudera

2017-10 - 2018-3 · 6 mos

lead technical marketing engineer

hewlett-packard

2005-5 - 2008-8 · 3 yrs 4 mos

field chief technology officer ai and ml

bluedata

2019-4 - Present · 7 yrs 6 mos

Democratizing AI for the masses.

senior implementation engineer

fico®

2001-3 - 2005-5 · 4 yrs 3 mos

* Managed and led many large scale projects--all had fully successful production rollout that was on time and under budget. * Engineer Lead of software implementation for: * o Bank of America that consisted of a team of 2 engineers and 2 business analysts (Concord California), * o First Data Resources that consisted of a team of 3 engineers and 2 business analysts (Omaha, Nebraska), * o Trinity Insurance that consisted of a team of 4 engineers and 3 business analysts (Dallas, Texas), * o First Marblehead Corporation that consisted of a team of 2 engineers and 2 business analysts ( Boston, Massachusetts) * o Capital One Financial Services that consisted of a team of 6 engineers 4 business analysts, 2 developers and 2 QA engineers * o AEON Bank (Hong Kong and Osaka, Japan) that consisted of a team of 2 engineers and 2 business analysts * o Toronto Dominion/Canada Trust (Toronto, Canada) that consisted of a team of 8 engineer 8 business analysts, 6 developers, 4 QA engineers and 2 Technical writers.

director, analytics infrastructure at corelogic

corelogic

2010-9 - 2017-10 · 7 yrs 2 mos

* Technology Expert. Dell Cloud, Azure, AWS * Hardware expertise. * Infrastructure design for SaaS. * Managing client growth and vision for future support of SaaS. * Big Data Management, Architecture and Design * HortonWorks Hadoop Data Platform 2.3-2.6: Ambari, HDFS, YARN, Spark, Hive, Kafka, Ranger, Knox etc... * Pivotal Labs BDS: Greenplum DB, Spring Cloud Data Flow, HAWQ DB * Server Design * Capacity Planning * Big Data Ingest * SAS, R and Python Analytic Tools * Machine Learning: Tensorflow, Theano, H2O * Linux Administration and Management