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.