Data Analytics Program Manager Resume Irvine, California - Hire IT People

SUMMARY:

Multifaceted technical career in Data Science with 15+ year track record of innovation and success.
Technically sophisticated data analytics professional focused on innovation, technical leadership, and organizational performance.
Passionate about data driven decision making to influence and guide strategic plans which lead to differentiated results.
Proficient in the application of machine learning, deep learning, artificial intelligence, and big data analytics to provide new solutions, increase efficiency, and pushing the performance of organizations.
Able to lead and inspire teams, develop and implement strategy, direct multiple tasks effectively, and master innovative software and tools.

CORE COMPETENCIES:

TECHNICAL PROFICIENCIES:

Ecosystems: Hadoop Ecosystem, Amazon Web Services, R Studio, Anaconda Python, Microsoft Azure

Languages: R, Python, Matlab, SQL

Software: Atlassian Tool Suite, Trifacta Wrangler, Cloudera, Slack, CRM Software, Docker, Julia.

PROFESSIONAL EXPERIENCE:

Confidential, Irvine, California

Data Analytics Program Manager

Responsibilities:

Design and implement an organization-wide data strategy to empower data driven decision making processes, spearhead a team of management consultants and contractors, and drive execution of pilot projects in the areas of machine learning, deep learning, artificial intelligence, and big data analytics in order to affirm the utility of these tools.
Lead a team of data scientist to produce enterprise analytics and systems analytics
Lead the organization through digital transformation by designing and implementing a digital strategy
Architected the cloud based infrastructure to enable machine learning and artificial intelligence
Built algorithms to support the mission of the organization

Confidential, Corona, California

Lead Data Scientist

Responsibilities:

Lead a data science team to create a platform of analytical models predictive of maintenance cycles of Navy ships, following a cross-industry standard process for data mining to ensure development of robust models.
Execute project in two phases, first characterizing the data using supervised learning models, and secondly predict the length of maintenance cycles using time series data.
Delivered machine learning models to predict ship maintenance cycles, resulting in improved process efficiency and reduction in resources and cost
Implemented a new methodology into the data analytics process: CRross-Industry Standard Process for Data Mining

Confidential, Corona, California

Chief Architect and Lead Analyst

Responsibilities:

Created and developed a cyber-security laboratory designed to provide state-of-the-art testing and experimentation environment focused on data analytics of cyber systems.
Utilized sophisticated data extract, transform, and loading tools and visualizations to collect network traffic and display it in real-time, enabling data scientists to create new models for cyber data analytics.
Spearheaded the creation of a Hadoop based cyber-security testing infrastructure for the organization

Confidential, Corona, California

Project and Engineering Lead

Responsibilities:

Developed strategic vision and directed team of system engineers, cyber analysts, and developers to execute against the set vision to develop cyber data analytics.
Encouraged a collaborative approach, and liaised with other labs to deliver outstanding results in a virtual test environment.
Developed statistical analytical models to measure system performance, and designed test objectives and system assessment capabilities.
Created a virtual test bed to provide empirical data, enabling rapid discovery of cyber analytic models
Analyzed program mission assurance requirements using linear regression modeling