Sr. Data Analyst/Statistician
PROFESSIONAL PROFILE
Extensive experience in conducting statistical analysis, planning, evaluation, statistical programming, performing data mining with frequency distributions, developing, and running predictive models for both private sector and government organizations. Adept at executing health insurance and continuing disability reviews. Works well under pressure, independently and collaboratively with team’s members. Capable of multi-tasking on multiple concurrent projects. Exhibits strong writing and presentation skills. Extensive experience with: HEOR working with evaluation and planning of Medicaid beneficiary’s utilization data, SAS with desktop and JCL environments, Medicare and Medicaid Utilization Data, Social Security Disability Data, Substance Abuse and Mental Abuse Data, SSA and CMS PII data applying Cybersecurity Principles and fully bilingual, (English/Spanish).
EDUCATION & CREDENTIALS
University of Puerto Rico October, (1994)
Master of Public Health — Biostatistics
University of Puerto Rico December, (1988)
Bachelor of Arts in Secondary Education — Mathematics
Federal Acquisition Certification — Contracting Officer Technical, Representative (COTR), Federal Acquisition Institute (FAI)
2015 Federal Committee on Statistical Methodology (FCSM) Research Conference, Washington, DC.
Affiliations: American Statistical Association (ASA), American Public Health Association (APHA).
PUBLICATIONS
2004 Drug Study Article for Medicaid Beneficiaries during Federal Fiscal Years 1991–2003, Health Care Financing Review/Spring 2006/Volume 27, Number 31.
Doctoral Courses: 2000 — Data Frequency Analysis, Math-Stat Applied to Finance Principles, & Experimental Design.
Federal Clearance: 2020 — U.S. Government Public Trust Clearance converted to U.S Government Secret Clearance currently active with the U.S. Department of Defense (DoD) after the investigation process was completed as of April 2020.
MOST RECENT TRAININGS
Virtual Forum of Statistics and Technology, Puerto Rico Institute of Statistics, May 7, 2020.
TECHNICAL PROFICIENCIES
Medicaid Statistical Information System (MSIS), Fraud Prevention System (FPS), Object Oriented Programming, Python Automation for Excel, SAS Visual Analytics, SAS JCL, SAS Enterprise Guide 5.7 & 6.3 Versions , SAS VIYA, SAS On Demand for Academics (SAS Studio). Base SAS (9.3 & 9.4 Versions), SAS BI, SAS ACCESS, SAS IML, SAS QC, JCL Mainframe & REXX, IPL, SAS MACRO, SAS GRAPH, SAS CONNECT, STATA, MATLAB, Alteryx, Python 3.7-3.9, Orange, Anaconda, Py-charm (Python & Jet Brain Py-Charm Community Edition), Java & Standard Operating Procedure (SOP), SAS STAT, SAS SQL, STATA, Process Analytical Technology (PAT), SAS Studio, STATA, MEBS-CBES, MINI-TAB, R Language, R Studio, Report Net, IBM Cognos, Data Mart, Statistical Survey BMDP, C++, Data Mart, DB2, EPI-INFO, GLIM, DTREG, GLIM, JULIA-PRO, IBM SPSS, Impromptu, CDISC, Linux, Microsoft Tools (Excel, Word, PowerPoint, Access, SQL Server 2014 Express), Tableau Public, TOAD, Hive, Pig, NoSQL, Atom, Toad, Machine Learning, TSO/ISPF/JCL, VAX/VMS, Visual Basic, WebFocus8 & Windows NT, S-PLUS & WEKA SAS-ETL & SAS z/OS SAS programming, Outstanding communication skills (Fully bilingual: verbal and written), Excellent analytical skills, evaluation skills and interview collaborations skills, well-organized, excellent judgement and problem-solving skills, CRO Biometrics activities, FDA, EMEA & ICH guidelines, and regulations covering clinical trials, statistics, and research data, Clinical Trials’ analysis and evaluation, Biotech/pharmaceutical industry Quality Control, Project files management within a network skills, MongoDB, Cassandra, Enterprise Miner, HBase, H2O, Scripting, R-Shiny, Jupiter & Subject Vector Machine (SVM), Decision Forest-Naïve Bayes, Google Collaboratory — Python 3.8.
