Predictive Analytics Specialist Resume
Houston, TX
SKILLS:
Six sigma Black Belt: Certificated Lean & Six Sigma Black Belt
SPSS Software: SPSS Modeler, Entity Analytics, Social Network Analysis, SPSS Collaboration & Deployment Services, SPSS Statistics, SPSS Text Analytics, Cognos BI
SAS System: SAS enterprise guide, SAS data step programming, SAS/Unix, SAS/Base, SAS/Macro, SAS/STAT, SAS/GRAPH, ODS and SAS report generation
Statistical Software: Business Objects, R, Splus and Minitab
Database Management: Oracle, SQL and Access
Operating Systems: Windows 9X/2000/XP, UNIX
Analytical methods: Data Science, Knowledge Discovery in Data, Predictive Analytics, Multivariate Statistical and Data Mining Methods, Applied Linear Models, Statistical Inference, Ridge/Logistical Regression Modeling, Design of Experiments, Time Series Modeling, Non - parametric Modeling, Database Management, Reliability, Hypothesis Testing
Others: Word, Excel, Outlook and PowerPoint
EXPERIENCE:
Predictive Analytics Specialist
Confidential, Houston, TX
Responsibilities:
- My responsibility is to create proofs of concept and custom demos in predictive analytics for the purpose of selling software.
- I am comfortable and strongly motivated to discover business needs and create actionable predictive models in almost any vertical: medical informatics, retail consumer goods trends, retail banking profitability, insurance disability claims, human resource hiring, financial annuity renewals, warranty analysis for root causes, part reliability for predictive maintenance and Telco bandwidth change detection etc.
Senior Statistician
Confidential, Santa Clare, CA
Responsibilities:
- Represent AMI team to provide the monthly presentation of the market size forecast in the Judge Demand platform meeting. Integrate statistical forecast methods into the manufacturing and business-decision making.
- Develop the Market Size and Product Mix Model. Leading the technical team and the statistical team through the continuous improvement efforts. Examples include Working with the Russian statistical development team to develop a wavelet time series demand forecasting model. This includes data management, development of demand characteristics, and communicating the “market intelligence” to the time series data set.
- Implemented forecast models to generate predictions with an accuracy of more than 96%. The prediction score required the creation of a set of metrics to measure the effectiveness/accuracy of the model to compare to the current as-is process.
- Performed data integration, transformation, and summarization of variables to identify the optional combination of inputs for the greatest predictive power. This includes working with the business users and understanding the current metrics/indicators that are used to make predictions today, coding them into the model, and scoring their overall contribution.
- Created a sandbox environment to perform evaluation of different statistical models and provide their visibility to business users. This tool evaluates the combination of predictive engines (Gradient Boosted Trees, Random Forest, Regression etc.).
- Evaluated the feasibility of applying Six Sigma Process Control techniques to demand forecast. Analyzed and documented cost saving opportunities; Developed proposals for project approval.
- Performed projects to decrease process cycle time, eliminate waste, and increase quality. Performed all work projects enthusiastically with customer focus and a drive for excellence. Established and validated control plans for statistically controlled processes.
- Successfully led and participated on Six Sigma DMAIC initiatives under mentorship of Six Sigma Master Black Belts resulting in $1.024M first-year savings.
- Successfully completed a Six-Sigma project on demand forecast to save 50% of time with a 7% forecast accuracy increase (from 89% to 96%).
Data Modeler
Confidential, Dearborn, MI
Responsibilities:
- Developed the targeting models and score the Confidential Company customer data, assisted marketing department in targeting best customers and prospects.
- Developed risk models to avoid the high-risk customers based on the Customer financial information from Confidential Credit Company.
- Developed detailed profile of customer groups and vehicle segments utilizing marketing research to provide consultation in the development of the targeted campaigns.
- Made measurement on programs relating to loyalty, conquest/defection patterns, customer satisfaction and the competitive market. Defined direct marketing programs including target groups, contact methods (mail, e-mail, or web), interfaces, and support systems.
- Provided analytical services and marketing solutions for Confidential and interpreted consumer data for strategic recommendations.
- Analyzed Confidential customer research sources to create reports on automotive industry dynamics, provide market context for communication strategies, and spread understanding of consumer and segment targets.
- Analyzed the marketplace and identifying weaknesses, opportunities and trends.
- Analyzed Direct Marketing programs to determine buy rates, sales lifts, market share, loyalty, incremental sales and return-on-investment.
Marketing Project Manager
Confidential
Responsibilities:
- Executed forming hypothesis and solving problems together with the management team.
- Developed a strategic business plan for a new field of business (banking system).
- Managed company website development to promote new product versions and services. The results of optimization were 150% web traffic increase and 20% sales growth.
- Edited literature for the company's brochure, advertisements and all content of the website.
- Prepared monthly market forecasts and analyses available for a fee on the company website.