Rock Creek Analytics

Investment Analysis

We create detailed models to help determine the financial viability and risk associated with infrastructure investments and develop strategies to optimize schedules and costs.

Business Planning/Risk Analysis

We help create business plans for infrastructure assets to determine how the asset will be developed, financed, constructed and operated, and assess the key risks that can cause schedule or cost over-runs.

Due Diligence

We support developers and financiers in their due diligence reviews of demand and cost estimates, permitting required, comprehensive risk analyses, and project schedules.

Financial analysts spend too much time fixing bugs on their Excel based models rather than focusing on inputs and analyzing the outputs. We provide web based models using standardized templates. Users input the details of their model via our web based interface, and leave the modeling details to us. Within seconds the model is run, and the user can focus on reviewing the output.

Check out our work on financial modeling at MyFinModel.com.

Data and Geospatial Analytics

We undertake statistical analysis and modeling of large scale data sets, and use modern visualization tools to present results.

We are experts at undertaking geospatial analysis to find geographic patterns in data, identify hot-spots, clusters, areas of concern and insights by combing through hundreds of data layers (such as weather data, demographic data, land use data, satellite imagery, etc.).

Demand Forecasting

Demand modeling and forecasting is one of our core competencies. We have worked in this space for over 20 years and have specific expertise in the modeling of transport facilities such as highways, toll roads, ports, transit systems, and railroads.

We utilize the traditional demand modeling techniques (time series analyses, econometric modeling, and four-step transport planning models) as well as artificial intelligence-based techniques such as neural network-based machine learning to forecast demand, prices of stocks, etc.

Try our machine learning based demand forecasting application.

• Private client: PPP expert for a World Bank funded road safety project
• Private client: Quantitative financial modeling for opportunity zone investments for a real estate investment firm
• Private client: Data analytics and dashboard development for a commercial real estate start-up
• Federal Government: Data analytics of insurance policies and claims for DHS/FEMA
  • Typical dataset: ~500+ million records spread over multiple data tables
  • Statistical modeling: descriptive analysis, time series analysis, factor analysis, discriminant analysis and predictive modeling
  • Tools: R, SPSS, PostGres, Netezza, Python, SQL, Tableau, ArcGIS
• Federal Government: Data analytics for the Federal Permitting Improvement Steering Council – Office of the Executive Director
• Private client: Benefit cost analysis in support of BUILD grant application to the U.S. Department of Transportation for a container terminal in Pacific Northwest
• Private client: Financial modeling for power projects (solar power and conventional power) worldwide
• Private client: Financial model for a new port in the Caribbean
• Private client: Quality assurance of a due diligence of acquisition of a construction company in the US
• Private client: Assistance to the Independent Engineer for two toll roads in Dominican Republic
• Private client: Demand analysis for a new cruise terminal in Central America
• Private client: Optimization of financial reporting tool for the Office of the CFO of a private toll road operator in the US