Data Analytics Group
Econometrica’s Data Analytics Group is a team of technical experts skilled in data science and machine learning, data engineering and data analysis, economic and regulatory analysis, and advanced statistical and evaluation methods.
ENERGY
EVALUATION
HEATH DATA
ANALYTICS
MARITIME &
WATER RESOURCES
IDENTIFYING
IMPROPER PAYMENTS
TRANSPORTATION
HEALTH EQUITY
*Asterisk Fields Required
Our Expertise
DATA ENGINEERING
- Extract, transform, load (ETL), data frame design, data storage
- Data cleansing/preparation, conversion, quality assurance
- Requirements, parallel programming, code review, testing
- Statistical programming, data analysis
- Application development, API/web scraping
ECONOMIC ANALYSIS/SUPPORT
- Analytics such as benefit-cost analysis (BCA), cost-effectiveness analysis (CEA), break-even analysis, return on investment (ROI), supply/demand analysis
- Regional economic impact analyses, including the estimation of direct, indirect, and induced impacts
- Development of economic models for simulation, estimation, and forecasting purposes
- Risk and uncertainty analyses, including Monte Carlo simulation and solutions for addressing low-probability, high-consequence (LPHC) events
- Support of all phases of the Federal rulemaking process
PROGRAM EVALUATION, MONITORING, AND COMPLIANCE
- Fraud, waste, and abuse detection
- An agile evaluation approach featuring rapid-cycle analytics
- Impact evaluations using comparison group designs, including statistical matching and difference-and-differences approaches
- Mixed-methods evaluation designs that combine qualitative and quantitative approaches
- Collection and analysis of qualitative and quantitative primary data
- Design, testing, and administration of surveys
DATA VISUALIZATION
- Customized infographics and maps
- Interactive dashboards that are accessible across multiple platforms
- Dynamic dashboards for multi-user role-level security environments
MACHINE LEARNING/ARTIFICIAL INTELLIGENCE
- Text mining
- Natural language processing
- Reinforcement learning
- Supervised and unsupervised machine learning methods
- Model tuning and feature selection techniques
STATISTICS ANALYSIS AND SAMPLING
- Customized statistical sampling plans
- Parametric and non-parametric statistical modeling
- Generalizable statistical and hypothesis testing
- Forecasting and predictive analytics
- Geospatial analysis
Highlights of Econometrica’s Analytical Projects
CMS OPEN PAYMENTS PROGRAM ANALYTICS
CLIENT: CMS, OFFICE OF HEALTHCARE EXPERIENCE AND INTEROPERABILITY (OHEI)
TASK: Support CPI in implementing the Open Payments Program and maximizing program compliance via a suite of analytical services.
SOFTWARE: SAS, Python, IDR, Secure Analytical Server
EXPERTISE: Compliance analytics, auditing, machine learning, big data processing, data visualization.
CMS Million Hearts Initiative
CLIENT: CMS, CENTER FOR MEDICARE & MEDICAID INNOVATION (CMMI)
TASK: Supported CMMI as clinical implementation contractor for innovative Medicare payment model. Million Hearts sought to close a gap in cardiovascular care by incentivizing healthcare practitioners to engage in beneficiary cardiovascular disease risk calculation and population-level risk management.
SOFTWARE: SAS using data housed in, CCW, and IDR, Secure Analytical Server
EXPERTISE: Medicare claims analytics, beneficiary attribution, calculation of program incentive payments, HIGLAS/MAC payment processing, validation of beneficiary and visit information, reporting and data visualization.
Medicare Value Incentives and Quality Reporting Appeals Support (VIQR)
CLIENT: CMS, Center for Clinical Standards and Quality (CCSQ)
TASK: Econometrica assists CMS in the administration of appeals and reconsideration of incentives on 13 Quality Reporting and Value Based Purchasing programs and helps to align the appeals processes across these programs through consolidated quality assurance, policy support, post-annual payment update determination support, and technical assistance.
SOFTWARE: Amazon Relational Database Service (Amazon RDS) for Oracle 19c, Java, Thymeleaf, JasperReports on Amazon Web Services (AWS) Cloud
EXPERTISE: Medicare data analytics, database development, technical assistance to Medicare providers, policy and analytic support for Medicare appeals processes for Medicare Quality Reporting and Value-Based Payment Programs
Our Team’s Expertise (Who We Are)
- Technical SMEs with extensive experience in leading complex analytical projects.
- Certified and experienced data scientists, computer programmers, economists, statisticians, and program evaluators.
- Experts working across different analytical platforms and subject areas.
- Design and implementation of cloud solutions for government agencies.
- Staff at all levels with public trust and higher-level clearances

Dmitriy Goryachev, M.S.
Data Analytics Director