- Honolulu, HI, US
- £25 /hr
- Available now
Over the last 8 years have built scalable ad networks using Linux, SAS, python, and C++ using information retrieval and machine learning algos and deployed on AWS. I architectmore...Over the last 8 years have built scalable ad networks using Linux, SAS, python, and C++ using information retrieval and machine learning algos and deployed on AWS. I architect scalable scrapers in python using aws ec2 and MapReduce, scalable time series forecasting, and machine learning algos for real time decision making for online solutions. I also optimize SEM using bing, yahoo, and Adwords API's with integrated google analytics api support. My corporate roles are at the CTO, Cheif Scientist and Architect level.
â— SAS - Awarded SAS Feedback Award at 2007 SUGI. Speaker at 2005 Data Mining Conference
â— LAMP Developer (Python, PHP)
â— Programming Languages • C++, Python, PHP
â— Statistical Programming • SAS, SPSS, R
â— Database & Business Intelligence • Oracle, MySQL, SQL Server, Analysis Services, NoSQL
â— Econometrics • Time Series Analysis, Auction Theory, Game Theory
â— Multivariate Statistics • Cluster Analysis, Hierarchical Modeling, SEM, Multivariate Regression
â— Machine Learning • Decision Trees, SVM, Neural Networks, Boosting, MCMC
â— Information Retrieval • Taxonomies, Latent Symantec Indexing, TF-IDF
â— Design Patterns, Test Driven Development, Code Review, SVN,GIT
â— CRM - SalesForce, SalesForce Python API, ZOHO, Sugar CRM
â— AWS - EC2, RDS, MapReduce, S3, SQS
Area Covered: United States
Work Experience Summary: Nov 2008 âï¿½ï¿½ Oct 2010 - Founder
Oct 2010 - Present âï¿½ï¿½ Advisory Role
Honolulu, HI and Makati, Philippines
Architected and built a state of the art SEM agency from the ground dedicated to small and medium sized business Internet Yellow Page advertising. AdHui.com is designed to scale at the B2B level to support +10,000 clients.
Duties and Accomplishments:
âï¿½ï¿½ Coded the backend code around Google, Yahoo, and MSN API for dashboard reporting and Google Analytics using python with API integration to SalesForce.
âï¿½ï¿½ Created SAS Macros for reporting and analysis.
âï¿½ï¿½ Architected and built dashboard using python web2py that integrates metrics from multiple source such as Ad Networks, Call Tracking APIâï¿½ï¿½s, and Google analytics API's.
âï¿½ï¿½ Coded state of the art media optimization algorithms and keyword biding algorithms executed on an hourly basis and was designed for data with high variance and rare events that is typical for local search advertising and small budget using constrained profit maximizing optimization.
âï¿½ï¿½ Built a state of the art outbound call center and BPO using SalesForce Enterprise CRM and other communication tools based in Makati, Philippines.
âï¿½ï¿½ Hired and trained the core outbound sales reps and client service reps.
May 2007 âï¿½ï¿½ Nov 2008
Santa Monica, CA;
Duties and Accomplishments:
âï¿½ï¿½ Architected and built a scalable Ad Server designed to serve video and image ads for CPM media buys. Ad server built using Python and ported to Java by the engineering team.
âï¿½ï¿½ Set the strategic direction for Ad Serving targeting and experiential designs methodology
âï¿½ï¿½ Architected the metadata database for publishers and advertisers for use by the ad server and presentation layer UI engineers
âï¿½ï¿½ Created a proprietary algorithm that classifies media folkonomies into a structured taxonomy with synonyms using TD-IDF for automatic matching of ads to content. Class libraries built using Python.
âï¿½ï¿½ Used SAS and R for offline statistical development.
January 2006 âï¿½ï¿½ 2006 - Founder
SDK Partners, Inc.
New York, New York âï¿½ï¿½ Karlsruhe, Germany
SDK Partners was formed in response to a RFP from United Internet Media and Web.de. The RFP required a business development plan to build an online market place that was competitive to Google, YPN, and MSN in terms of scale and ROI.
âï¿½ï¿½ Organized a dream team of the industries top talent to create a business development plan.
âï¿½ï¿½ Architected an ad server designed to serve potentially millions of listings across millions of web pages for a second price CPC and/or CPA and/or CPM marketplace for both text links and image ads.
âï¿½ï¿½ Architected a presentation layer for publishers, advertisers, and agencies to manage campaigns.
âï¿½ï¿½ Architected the analytics for contextually determining relevance of an ad to a page using information retrieval methods.
âï¿½ï¿½ Designed algorithm for determining a prior probability of a click or an action for ads that have never been served along with the ability to update click rates given observed information.
August 2003 âï¿½ï¿½ December 2005: Senior Vice President âï¿½ï¿½ Marketing Analytics
xplusone f.k.a. Poindexter Systems, Inc.
New York, New York
Poindexter Systems is a leading provider of database marketing technology to Internet advertisers used for the optimization of online ads over the Internet. Poindexter Systems has an impressive array of blue chip clients and is responsible for all Internet advertising for companies such as American Express, America Online, and T-Mobile.
Duties and Accomplishments:
âï¿½ï¿½ Set the strategic direction of all marketing analytic techniques and ensure that only state-of-the-art methodologies are employed
âï¿½ï¿½ Consult with clients and train staff on effective advertising and marketing techniques.
âï¿½ï¿½ Architected and programmed Poindexter Systems flagship product POE (Progressive Optimization Engine) which is a completely automated advertising optimization and reporting tool. Allows users to build and update predictive models and publish them to ad servers for real time predictive modeling. Underlying algorithm used constrained optimization on decision trees to maximize profit, revenue, or click rates given campaign requirements.
âï¿½ï¿½ Programmed C++ class library designed to forecast millions of impression time series on an hourly basis using ARIMA modeling and automatic identification and removal of outliers.
âï¿½ï¿½ Created C++ library for Monte Carlo simulation for determining power and critical values for statistical testing of rare event data such as proportions and means.
âï¿½ï¿½ Successfully presented POE to Venture Capital firm which was a major factor in securing $8 million in venture capital investments.
âï¿½ï¿½ Further expanded new product offerings and core competencies that further contributed to revenue growth.
âï¿½ï¿½ Successfully recruited some of the industries leading statisticians and SAS programmers to further advance the capabilities of Poindexterâï¿½ï¿½s analytics automation products.
âï¿½ï¿½ Lead the coordination effort between analytics, product management, and engineering for all analytical products to ensure integration of the POE product with Poindexterâï¿½ï¿½s ad servers.
âï¿½ï¿½ Technical skills most often used were SAS 9.1 with Enterprise Miner 5.1, MS OLAP Analysis Services, ASP.NET, C++, Discrete Stochastic Dynamic Optimization, Linear and Non Linear Programming, Marketing Mix and Response Models, Game Theory, experimental design, discrete choice analysis, and econometric time series forecasting.
July 2001 - July 2003: Manager of Information Services
HMSA (Hawaii Medical Services Association/Blue Cross/Blue Shield)
HMSA is Hawaii's largest health insurer with 680,000 members. This position had five direct reports and reported directly to the VP of the Care Management Department. Primary role was managing HMSAâï¿½ï¿½s Physician Quality Service and Recognition Program which was a nationally recognized physician incentive program that won the Blue Cross/Blue Shieldâï¿½ï¿½s top award, âï¿½ï¿½Best of the Blues,âï¿½ï¿½ for the most innovative health insurance advancement in 2001.
âï¿½ï¿½ Ensured that unit objectives were coordinated with other units in the department and across the organization
âï¿½ï¿½ Ensured staff resources were appropriately allocated to meet corporate needs.
âï¿½ï¿½ Prepared and presented unit and departmental progress reports to senior executives
âï¿½ï¿½ Managed two cost centers with an annual budget of $5 million.
âï¿½ï¿½ Managed junior departmental staff, including the hiring and mentoring of staff, and other administrative management duties.
Data Mining Duties:
âï¿½ï¿½ Predicted the uptake of new drugs by the physician community. This allowed HMSA to predict how much a new drug would cost HMSA for the 12 months following the time of the drug introduction.
âï¿½ï¿½ Forecasted successive yearsâï¿½ï¿½ medical and drug costs among members so high cost members could be directly targeted for intervention programs.
âï¿½ï¿½ Used AI algorithms for scoring data sets for targeted marketing and disease management intervention programs.
Marketing Research Duties:
âï¿½ï¿½ Member Satisfaction Survey - Designed and analyzed annual member satisfaction survey mailed to an average of 140,000 members.
âï¿½ï¿½ Practitioner Survey - Managed annual survey of all HMSA par physicians.
âï¿½ï¿½ Employer Group Survey âï¿½ï¿½ Created annual survey for satisfaction of employer groups within HMSA.
âï¿½ï¿½ Statistical models used for analysis of survey data were perceptual mapping, structural equation modeling, hierarchical linear modeling, exploratory factor analysis, cluster analysis, and CHAID.
Business Intelligence & Database Reporting Duties:
âï¿½ï¿½ Ensured that ad hoc data requests were feasible and statistically sound.
âï¿½ï¿½ Created physician report cards designed to influence physician and member behavior. This included creating quarterly reports that were designed to encourage increased use of generic drugs and also to ensure that HMSA member drug compliance for physicians.
âï¿½ï¿½ Managed OLAP Power Users for creation of OLAP reports for other departments in the organization.
Education Summary: University of Hawaii - PhD Program - ABD in Economics
University of South Florida - BA Economics
Chief Scientist CTO SAS R Python - Scalable ML Statistician