Practioner Resume
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SUMMARY
- 15 years working within professional services
- 12+ years offering analytics solutions for business units across multiple industries
- 11+ creating quantitative models for rules - based decision systems
- Product manager of onshore/offshore analytics and BI software development groups
- Management of sales life cycle from idea creation through signing of large and complex deals
- An account growth driver working with client teams, and project teams, to win consulting engagements for Data Science & Machine Learning, information Management, IOT, Blockchain, Application Lifecycle, Hybrid Cloud, SaaS, and more
AREAS OF EXPERTISE
- Software Solution Sales
- Enterprise Solutions Architect
- Data Science and BI
- Marketing Automation & Optimization
- Application Development
- AWS Public Cloud, Azure, Confidential Cloud
- Marketing Automation & Optimization
- SAS Enterprise Guide, R, Python, SPSS
- CRM Offer Recommendation
- Coremetrics, iPerceptions, Google Analytics, Epsilon, Silverpop
- Business Development
- Financial Selling
- Deal Management
- Opportunity Identification
- Strategy Development
- Strong oral, Written and Presentation Skills
- Strong client relationship focus
- Statistical Data Analysis
- Econometric Modeling
- Operations Research
- Design Thinking
- Data Engineering: Extraction, Transformation (Quality), and Load
- Technology Services
- Professional Services
- Consumer Package Goods
- Travel & Transportation
- Hospitality Industry
- Financial Services
- Insurance
- Retail Distribution
- Pharmaceuticals
- Research
PROFESSIONAL EXPERIENCE
Confidential
Practioner
Responsibilities:
- Digital transformation practice focused on AWS, Azure, and Google cloud offerings. Commitment to continuous innovation. Machine Learning networks e.g. PyTorch, MXnet, TensorFlow. Supervised, Unsupervised, Reinforcement Machine Learning Methodologies. Python, R, and SAS. Scitest. Big Data and No SQL technologies: MongoDB, Elastic-search, Reddis, Elastic Cache. CI/DI w/ Docker, Kubernetes, Heme, etc. Along w/ emerging technologies e.g. Apache Drill. Sage Maker and Core Labs model deployment services.
Confidential
Enterprise Architect
Responsibilities:
- Worked closely with CxO's, and IT executives, in North America, to identify areas of improvement to accelerate digital transformation. Maintained a passion to strengthen relationships between IT and the business units it supports. Continued focus on people, processes, and technology to win client trust and end user adoption. While working closely with internal account teams to align business initiatives with client needs. Leveraged emerging technologies to drive consulting and cloud service agreements.
- Created, drove, and supported Blockchain for Supply Chain solution to replace an existing pharmaceutical track and trace vendor
- Won signing with large southeastern grocery chain to support on-demand deliveries, and IOT refrigeration solution to reduce spoilage
- Created, drove, supported application life cycle solution ( DevOps ) for global office supply company to improve support services
- Drove Artificial Intelligence/Natural Language Processing powered sentiment analysis project to evaluate agent call quality in large call center for a top 10 global shipping company
Confidential
Analytics Solution Architect
Responsibilities:
- Sales and delivery leader of advanced analytics solutions to US clients in the retail distribution, consumer product goods, and travel transportation industries. A project leader assuring effective communication of business architecture and processes for successful client engagements. Dual role accountable for sales and delivery encompassing new business identification, proposal development, and knowledge management after project completion. A thought leader within the sales and marketing, retail, and risk analytics space. For example:
- Designed and implemented a custom campaign attribution automation system for popular Cruise Line to tease out incremental revenue and key performance drivers when launching hundreds of campaigns per month.
- Consulted Brooks Brothers Inc on data warehouse modernization as part of their enterprise-wide migration to SAP . This involved advising key decision makers on their existing BI investment (SAS).
- Consulted Nike, Inc Retail Performance Division on rebuilding a new and improved data warehouse and reporting environment
- Developed and implemented multi-channel campaign forecasting models. Allowing the marketing team to evaluate success early in the campaign life cycle
Confidential
Chief Analytics Officer
Responsibilities:
- Responsible for the full deployment of stable open source Business Intelligence solutions i.e. Pentaho and JasperSoft
- Leads design and development of tailored data visualization tools, statistical analysis, business process management, data integration, metrics selection, and quantitative modeling
- Conducts demonstrations and/or webinars for prospective clients
- Provides documentation and onsite training to primary and secondary users
Confidential
Sr. Statistician - Solution Architect
Responsibilities:
- Led the application life-cycle development of an Automatic Offer Recommendation system for email marketing campaigns (+500k/month)
- Led the application life-cycle of visualization apps for the Global Performance Marketing ( SEM, SEO, Ad Network ) strategy team.
- Worked collaboratively with external analytics support vendors, and internal analysts, to carry out IHG initiatives.
- Redeveloped and automated statistical models to determine loyalty club member ’s propensity to register for Multi-Brand, Hurdle, and Cross Sell Up Sell promotions
- Conducted multivariate statistical analyses, using panel data, to estimate lift i.e. ROI for post-promotional reporting with and without available tracking metrics
Confidential
Analytics Consultant
Responsibilities:
- Responsible for statistical programming support to three decision groups: scorecard development, acquisition and growth, loss management.
- Worked closely with each group to gather business requirements. Identified and extracted key customer influence metrics that would be used in monthly, quarterly, and ad-hoc statistical reports.