SUMMARY:

• Seven years building statistical optimization models and deploying data science workflows for insight - driven decisions in business analytics, supply chain, marketing, education, environmental engineering, and quality control.
• Statistics research expertise includes experimental design; multivariate analysis; GLM, analysis of variance, multiple/logistic regression; frequentist/Bayesian analysis; hypothesis testing, power analysis; surveys and bootstrapping methods; time series forecasting; analysis of interdependent data structures (e.g. multidimensional scaling and Factor/Cluster Analysis) in marketing research; Supervised Machine learning regression/classification models e.g. decision trees, random forests, K-NN, SVM, Naive-Bayes

TECHNICAL SKILLS:

• R
• Python
• SAS
• SPSS
• Hadoop Spark
• GitHub
• JavaScript
• HTML
• Project
• Visio
• IBM Cognos
• Tableau
• MS SQL stack (SSAS
• SSIS & SSRS
• Power-BI)
• VBA
• Access
• Excel
• PowerPoint
• TensorFlow
• Azure ML
• Teradata
• Oracle
• CPLEX
• Fortran.

PROFESSIONAL EXPERIENCE:

Confidential, Boca Raton, FL

Senior Analyst/ Statistician

Responsibilities:

• Developed robust statistical methods to identify the “Large Order” thresholds. Developed program to reduce the upstream supply chain “bullwhip effect” oscillations that has yielded a margin of $2.6M/year since its implementation.
• Identified actionable insight to improve both inventory aging and Gross Margin (GM). Isolated 7% of EBW space accounting for 45% ($11.3M / $25M) of total aged inventory while contributing only 8% ($4M / $49.6M) to total GM.
• Developed material for six lectures starting with inferential and predictive statistics and culminating with integrating the company KPI’s into an insights-driven, data science framework.
• Developed a gamma distribution, JITA (Just in Time Allocation) model to estimate the on-hand inventory parameters. This model was deployed companywide by the Confidential to balance product allocation and demand forecasting.
• Developed a Visual Basic SQL code parser. It reduced report scoping time by 30-40 % and served as the backbone of the MS-SQL BI platform migration project.
• Aggregated internal data with sentiment analysis data from Tweets and web-scrapping to developed and deploy a predictive model that identifies the early-warning signals (probability) of product defects/returns.
• Developed a model identifying the optimal ad-promotional thresholds for the Oracle RDF forecasting system. It improved forecast accuracy by 0.6% yielding $3.4M in savings. The project was featured in the company’s PMO Report, Oct. 2013; Volume. 4; Issue 29.

Confidential, Tampa, FL

Adjunct Professor

Responsibilities:

• Taught hybrid and F2F Statistics for Decision Science.
• Developed case studies and supervised statistical analysis lab activities with R, Excel, and SAS.
• Interpreted field data and advised counter-intelligence Confidential .

Confidential, Villa Hills, KY

Vice President / Founder

Responsibilities:

• Established/cultivated strategic relationships with suppliers and negotiated contractual agreements with 28 airlines and major GDS providers ( Confidential, Confidential ).
• Developed customer database and customer lifecycle value metrics.
• Designed surveys and Bayesian updates to build predictive models and customer segmentation profiles to structure the marketing plan. Used a sales team, CRM, and social networking approaches to grow and retain a customer base to over 4,000.
• Forecasted market price and customer demand for int’l airfares, and travel indexes.
• Developed a database of over 4,000 world airports with regional demographic and market statistics, competitive airline traffic, currency exchange matrix, GeoNames(TM) data, Google Map APIs, a makeshift ArcGIS tool (GDS system independent) with location-specific attributes.
• Monitored compliance with visa, immigration, int’l travel, DL/DHS/DS guidelines & regulations e.g. SEVIS, IATA, ADA.
• Planned business/educational conferences, trade seminars and exhibits at show events.
• Developed the company website including the int’l airfare SE aggregator Archimides. Developed EduTainment (ET), an online CMS/LMS-type portal, as an outreach strategy to engage diverse communities, increase website traffic, and remote information sharing.
• Led employee/agent meetings; dealt with customer issues; managed daily operations.
• Traveled frequently internationally to set up partnerships with local agencies.

Confidential, Cincinnati, OH

Associate Director, Professor

Responsibilities:

• Taught Mathematics, Statistics, Economics, and database design and programming.
• Advised students with course selection and helped with job-search and placement.
• Developed database for student records; wrote scripts to generate statistics for enrollment, retention/graduation, and other contextual reports.
• Curriculum development, student recruitment, and new faculty onboarding.

Confidential, St. Louis, MO

Revenue Analyst

Responsibilities:

• Used advanced statistical and optimizations methods to determine flight-load levels, pricing, and network design to maximize revenue and reduce cost.
• Analyzed reservation data, historical trends, effects on capacity of regulatory constraints, competitor pricing variations and presented summary reports to revenue management.
• Developed economic analysis, revenue forecasting, and price sensitivity models.
• Developed Markov-Chain Monte-Carlo decision models for overbookings optimization.

Confidential, Cincinnati, OH

Visiting Professor

Responsibilities:

• Taught Mathematics, Statistics, and Quantitative Methods to undergraduate students.
• Collaborated with Professor David Anderson in revising.