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Director Of Data Science & Analytics Resume

SUMMARY:

  • Comprehensive understanding of Security Methodologies
  • Experience with reverse engineering of malware
  • Advanced experience with TCPIP/UDP/ICMP
  • Comprehensive knowledge of the OSI Reference Model
  • Windows / Linux / Unix operating systems
  • Advanced experience with networking components (routers, switches, load balancers, wireless access points, etc.)
  • Comprehensive knowledge of firewalls, proxies, mail servers and web servers
  • Advanced experience with operational support for operating systems, applications and networks
  • Comprehensive knowledge of client/server relationships
  • Comprehensive knowledge of relational databases and structured query language
  • Advanced experience with vulnerability assessments
  • Advanced experience with intrusion management and its components
  • Comprehensive understanding of encryption algorithms and ciphers (PKI/SSL)
  • Comprehensive knowledge of malicious code (worms, viruses, spyware, etc.)
  • Comprehensive experience with Virtual Private Networking
  • Comprehensive knowledge of multi - tier environments
  • Advanced experience with packet inspection / sniffers
  • Advanced experience in forensics and e-discovery
  • Advanced experience in automation and scripting of applications and systems
  • Advanced experience in anomaly detection (signature / behavioral)
  • Advanced experience with event and log correlation
  • Effective team management, time management, and organizational skills
  • Implementation of Social Analytics (Datasift - powers the social analytics for Tableau), and Brandwatch- gathers data from over 70 million sources globally to determine the overall health of your population.
  • Strong analytical skills with a solid foundation in statistical techniques. MANOVA, multiple regression analysis, regression analysis, correspondence analysis, conjoint analysis, cluster analysis, factor analysis, latest class segmentation, mix modeling, Bayesian, MCMC techniques, predictive modeling, experimental design (what if scenarios), cross-sectional and time series analysis, discrete choice modeling, data mining and optimization techniques.
  • Strong time series Analysis, Moving averages, various Smoothing techniques, seasonal forecasting trends, and univariate regression multivariate analysis.
  • Marketing-specific analyses including: campaign effectiveness analysis, customer segmentation and profiling, retention analysis, lifetime value analysis, and competitive market research related to input and development of decision modeling.
  • Ability to track what web pages your customers view, how long they stayed on your site, geo-tracking of your customer, and the number of unique visits to your site.
  • Set overall technology direction of Population Health Analytics and Predictive Modeling
  • Identifying and working with large local employers to help establish our Wellness Programs
  • Inform the Public that co - pays are eliminated for Immunizations, Screenings, and other Clinical Preventive Services
  • Establishing Web Based Chronic Disease applications (integrate with mobile & tablet app) to allow us track progress of Chronic Disease patients, and allow us to alert Physicians of possible health alert for a patient
  • Establishing partnerships with popular mobile Fitness & Diet applications. In September, Cigna and MyFitnessPal, the free personal health and fitness resource, announced a new initiative that will combine MyFitnessPal's nutrition, physical activity and weight management resource with Cigna's health coaching programs.
  • Establishing partnerships between Hospitals and Community Organizations
  • Creating BI tools that help us engage the location population to improve their health (game loyalty incentives)
  • Creating Training Strategy on how to Educate and Train the General Population
  • Establishing Predictive Modeling program that determines if there is a high probability the patient will be readmitted within 30 days
  • Creation of Strategy s with Clinical staff on how we can use Web, Mobile, and BI technology to change the behavior of the Population that is unhealthy
  • ACA requires tax-exempt Hospitals to conduct Community Health needs Assessments every 3 years (we are creating a strategy on how to do this)
  • Splitting (Segmenting) the Patient Population into registries that identify people with similar conditions and needs (Diabetics, Heart Failure, Obesity, Prenatal Care, etc). Developing a picture of each patient that clearly identifies their key needs and aspirations.
  • Establishing Strategy s to ensure the Patient Population is participating in preventive health measures, and screening programs (establishing a calendar for each person in the population that determines when they should have their next screenings based on age and other demographics)
  • Establish predictive models in R language that can be implemented in any BI platform to predict hospital readmissions
  • Establish of GEO coding data to help improve patient profiling using ArcGIS mapping tools and Tableau
  • Developing Behavioral Health interventions and distributing the interventions through mobile, web, and other digital formats.
  • Working with Healthy Planet Foundation system including the Care Manager and Navigator for outreach encounters.
  • CMS Chronic Care Management programs, Care Planning, Population Health Management, Accountable Care, Preventive Care, Population health management, preventive care, longitudinal plan, and home care programs.
  • Expert in designing the functionalities including: mychart, review the chart, video visits, outpatient medications, orders including smartsets, flowsheets, and questionnaire functionalities.
  • Creating, testing, validating and implementing Epic Population Health Dashboards and reporting workbench reports that focus on improving quality scores (HEDIS), lowering cost of care, and improving patient satisfaction scores for specific patient populations.
  • Proposing solutions to decision support systems to help clinicians close care gaps and help choose appropriate interventions and to help patients.
  • Implementation of Mobile Chronic Health care programs
  • Implementation of Fitbit and other IoT devices into Caboodle
  • Deep knowledge of cryptography and security certificate principles such as Public Key Infrastructure (PKI), Certificate Signing Requests (CSRs), secure communications protocols (e.g., TLS/SSH), Certificate Authorities (CA), etc.
  • Knowledge and understanding of security controls across all security domains such as access management, encryption methods, vulnerability management, network security, physical security, etc.
  • Strong background in Meaningful Use & Meaningful Use KPIs along with PQRS KPIs
  • Expertise in the use of social media listening, engagement, and analytics tools such as Crimson Hexagon, Sysomos, Radian6, Simply Measured.

STATISTICAL SKILLS:

  • Nonparametric regression
  • Bayesian statistics
  • Time series (State space models, ARIMA, )
  • Mixture models
  • Structural equation models
  • Optimization (at least one): Mixed - integer
  • Non-linear
  • Generalized linear models
  • Stochastic Models and Discrete-Event Simulation
  • Decision Analysis or Multiple Criteria Decision Making
  • Limited dependent variables
  • Generalized method of moments
  • Simultaneous equations models
  • Instrumental variables
  • Machine learning (2 or more areas):
  • Random forests
  • Neural networks
  • Boosting
  • Support vector machines
  • Graphical models
  • Clustering
  • Reinforcement learning

TECHNICAL SKILLS:

Scientific computing: MATLAB, Julia, etc.

Statistical: SAS, R, etc.

General: Java, R, Python, C, C++, etc.

WORK EXPERIENCE:

Confidential

Director of Data Science & Analytics

Responsibilities:

  • Responsible for defining Azure Enterprise Architecture for entire organization utilizing Azure Data Lakes & Spark
  • Analysis of complex datasets derived from competitive data sources to develop key insights into the data and construction of storytelling narratives for product development, audience targeting, and feature enhancement.
  • Implementing NLP platform for Hospital CRM to identify patient stress on phone calls to medical facilities.
  • Responsible for implementing security architecture considerations into all digital platforms.
  • Responsible for building out an entire Data Science Platform that utilizes Python and the R Language using Azure Machine Learning Studio and H20.
  • Responsible for building out future state Data Architecture-Dockers, Security, Data Lake Storage, Analytics Tools.
  • Machine Learning, Artificial Intelligence-Business Intelligence & Data Governance- Tableau, Business Objects, SAS, Web Analytics, Mobile Analytics, Social Analytics.
  • Implemented Graph Database Technology for Data Governance and for Customer Profiling.
  • Generating and circulating data-driven analytics and insights on mobile consumption and usage to identify new mobile content opportunities and mobile & digital video distribution outlets.

Confidential, Loma Linda, CA

Director of Data Science & Analytics

Responsibilities:

  • Manages a team of clinical and IT professionals to develop, support, maintain and sustain the Clinical Business Intelligence Platform
  • Implementation of innovative Population Health strategies that achieve the Triple Aim of patient-centered, improved quality of care combined with reduces cost/waste.
  • Work with clinical faculty and professional healthcare staff to understand and articulate opportunities for application of technology and its provision of and relationship to health information
  • Working closely with clinical and business leaders to drive transformational change in clinical care through the use of information technology
  • Providing leadership and oversight to the Clinical Application Services functions of the organization including: clinical application implementation, support and management, system training, and clinical report development
  • Directing the design, development, and implementation of the Clinical Application Services areas assuring alignment with the organization's strategic vision and plans
  • Creates and upholds compliance to all IT and Compliance policies and standards.

Confidential

Director of Data Science & Analytics

Responsibilities:

  • Constant Monitoring and improving problems with performance, security, and functionality of web applications.
  • Using presentation frameworks to provide fast, robust, and attractive user interfaces
  • Incorporating portals that provide a standard framework for merging multiple applications
  • Using mechanisms and architectural techniques to avoid security attacks
  • Migrating web applications to the cloud with Azure and Amazon.
  • Determining the database structure to use (SQL, NONSQL) based on requirements primarily to move into a Hadoop Data Lake.
  • Creation of first Cyber Security Analytics Platform
  • Architecting Data Warehouses using the Star Schema
  • Coordinate the deliverable and project specific activities performed by cross-functional project teams
  • Management of over 5,000 domains for websites.
  • Vendor Management-making sure they adhere to internal standards for web sites along with FDA standards

Confidential

Ex Director of Consumer Analytics Data Science- web and Mobile

Responsibilities:

  • Analysis of complex datasets derived from competitive data sources to develop key insights into the data and construction of storytelling narratives for product development, audience targeting, and feature enhancement.
  • Scope and oversaw the design and implementation of the strategic research for Moviso Music content distribution efforts including improving, testing, and measuring of mobile on-demand platforms, digital and mobile properties, TV programming and social media applications.
  • Analysis of complex datasets derived from competitive data sources to develop key insights into the data and construction of storytelling narratives for product development, audience targeting, and feature enhancement.
  • Generating and circulating data-driven analytics and insights on mobile consumption and usage to identify new mobile content opportunities and mobile & digital video distribution outlets.
  • Redesign of Activision Game Website including improvements in Web Analytics and Game Loyalty Programs across Activision Game Studios.
  • Leveraging my expertise in mobile, digital and on-demand services to proactively identify opportunities for global business growth, development, and new distribution models.
  • Overseeing quantitative research (PhD Behavioral Science and Statistics) to explore the evolution of video consumption on mobile, consumer preferences on mobile and viewing behavior.

Confidential

Director Web Applications and Analytics

Responsibilities:

  • Oversees customer segmentation and the development of customer targeting models and frameworks
  • Partners with leadership on development and operations of dashboards to drive resource optimization and decisions
  • Presents analyses and recommendations to CFO in various functions, as well as to Marketing colleagues. Collaborates and ideates to shape business and marketing plans as needed.
  • Synthesizes and communicates cross-concept and omni-channel customer insights, return on investments, and other marketing intelligence
  • Evaluates new and alternate approaches, models and tools, working closely with cross-functional colleagues
  • Considers, evaluates and tests value of emerging and advanced analytics capabilities such as artificial intelligence, machine learning and predictive analytics

Confidential

Chief Data Warehouse Analytics Officer

Responsibilities:

  • Responsible for all Movie systems for Marketing and Distribution systems for the domestic movie division.
  • Recommendations for Investment in companies in the digital space WB might want to acquire or invest in.
  • Management of a large team of software developers, Data Scientists, Architects, and Analytic experts in the movie industry.
  • My team built 4 Star Movie Marketing Distribution System that was so successful Sony Studios purchased the software.
  • Management of Post Production house to prepare films for distribution to theatrical outlets. The Post Production team consisted of winners of several film awards in the area of film editing involving video and sound.
  • Added Trade Secret standards for WB to protect company property.
  • Ability to track who sends customer traffic to your competitors sites, which sites your competitors send traffic to, customer age, customer education, and PPC ads your competitors are running.
  • Creation of Population Health Analytics Platform to support the Affordable Care Act (web, mobile strategy).
  • Strong background in Mobile Analytics (My background includes over 10 years managing Mobile Software development projects, and adding mobile analytics).
  • Establishment of KPI tracing for CMS Meaningful Use, Stars, and PQRS.
  • Establishment of mobile analytics tracking through partnership with App Annie to track demographics, use of mobile app across Android and Apple platform.
  • Expert in Trifacta Data (Data Wrangler), ClearStory Data, Tableau, SAP Business Objects, and Platfora for Hadoop.
  • Systematic Review of Medical Research using CONSORT method for implementation of Evidence-Based Medicine.
  • Expert in Cognos, Tableau, SAP Business Objects, and SAS Business Intelligence Platforms
  • Strong background in Meaningful Use KPIs along with PQRS KPIs
  • Digital Marketing Analytics-specific analyses including campaign effectiveness analysis, customer segmentation and profiling, retention analysis, lifetime value analysis, and competitive market research related to input and development of decision modeling.

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