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Consultant Sr Resume

PROFILE:

  • 10 years of experience developing and implementing Statistical and Data Mining Models.
  • 15 years of experience understanding and solving business requirements through data manipulation.
  • Experience assessing and monitoring model performance.
  • Deep understanding on the business and the information technology requirements related to life cycle of statistical models.
  • Skillfulness implementing statistical models on productive environment.
  • Experience and certified by SAS as Statistical Business Analyst and Predictive Modeler covering topics like ANOVA, regression, logistic regression, decision trees, artificial neural networks and measure of model performance.
  • Understanding and experience with time series, cross section time series, optimization, extreme value distribution models.

TECHNICAL/MANAGERIAL SKILLS:

Primary Profile: Statistical Analyst and Data Miner

Hardware: Windows 2003 and older versions, Unix, and Linux

Programming Languages: SAS, R, STATA, Python, Unix

Databases: Oracle, MS SQL, Teradata

Other: S - Plus, IBM-SPSS Clementine, E-Views.

PROFESSIONAL EXPERIENCE:

Confidential

CONSULTANT SR

Responsibilities:

  • Data modelling, Business Intelligence. Business development.
  • Development of client’s proposals about business analytics and business intelligence needs.
  • Design, develop and migrate a data model for the Education Ministry.

Confidential

DEPUTY DIRECTOR ANALYTICAL MODEL DEVELOPMENT

Responsibilities:

  • Conducted statistical modeling to detect fraud.
  • Develop and document risk models to detect fraud on legal receipts.
  • The algorithm was developed using SAS Enterprise Guide.
  • Coordinate a team to develop monitoring reports to measure analytical models in a production environment.

Tools: SAS Enterprise Guide, Python, R, Microsoft SQL Server.

Confidential

SENIOR CONSULTANT

Responsibilities:

  • Develop and implement Business Analytics Solutions.
  • Developed and implemented data mining scoring code from SAS Enterprise Guide on SAS - UNIX. The models were developed in SAS Enterprise Miner and the scoring results were managed in SAS Enterprise Guide
  • Supervised the fulfillment of the bank methodology to develop analytical models.
  • Developed and implemented model performance assessment reports in SAS model Manager from risk management and commercial areas.

Tool: SAS Enterprise Guide, SAS Model Manager, SAS Enterprise Miner, SAP Hana.

Confidential

DEPUTY DIRECTOR RISK ANALYSIS

Responsibilities:

  • Conducted statistical and econometric modeling to improve the organization’s tax collection mechanisms.
  • Developed and documented a risk model to detect misbehavior in the payment of Value Added Tax of Confidential .
  • The model was a cross section time series first developed in STATA and then migrated to SAS using PROC GENMOD.
  • The errors were used as risk measures to detect those who deviate from the general pattern.
  • Created the tax compliance rules for Confidential .
  • This is used as a guideline to systematize the audit selection process for transfer pricing, consolidated corporations and governmental entities.
  • The rules were developed using SAS Enterprise Guide.
  • Coordinated a team of external consultants in the implementation of a Model in SAS Data Integration.
  • As a result, it was created a risk management system to evaluate corporation’s tax returns application.

Tools: SAS Enterprise Guide, SAS Data Integration, IBM-SPSS Clementine, STATA.

TAX COMPLIANCE ANALYSIS MANAGER

Confidential

Responsibilities:

  • Executed and documented studies that support tax collection planning and audit selection.
  • Formulated a location analysis for Confidential regional offices.
  • Proposed a whole new redistribution for offices all over the country.
  • The model was developed in R using regression analysis to estimate the revenue collection using distance as an independent variable.
  • The coefficient was used to simulate changes on the configuration of the system.
  • Developed subprograms to identify companies to be audited. Audit guidelines and execution processes were provided to Confidential local offices.
  • The information was handled using STATA and SAS Enterprise Guide.

Tools: SAS Enterprise Guide, STATA, R, Excel.

Confidential

DERIVATIVES AND RISK ANALYST

Responsibilities:

  • Executed projects to monitor risk management in Mexican mutual fund industry.
  • Developed a risk analysis of mutual funds using the cluster analysis technique on R.
  • The results were used to evaluate the rating methodology.
  • Executed projects in the areas of economics and planning.
  • Created the methodology to calculate a sub-national competitiveness index of Mexican states.
  • This methodology has been used in several specialized publications.

Tools: R, S-Plus, STATA, SAS, Excel.

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