Our Services

  1. Programming language
  • Python
  • C#
  • R
  • Latex
  1. Data Analytics, Data Science, Artificial Intelligence, and Machine Learning
  • Supervised and unsupervised machine learning (classification, regression, cluster analysis, dimension reduction, interpretable machine learning)
  • Deep learning
  • Text Mining
  • Web scraping
  • Neural network
  • Autoencoders
  1. Statistics and Economic Packages
  • R
  • Python
  • Eviews
  • Matlab
  • SAS
  1. Economic Modelling
  • Dynamic Stochastic General Equilibrium (DSGE)
  • Computable General Equilibrium (CGE)
  • VAR family models
  • GARCH models
  • Choice Experiment (Discrete choice and best-worst scaling)
  • Machine learning for any economic and non-economic forecasting and prediction.
  • Nowcasting models

in these Areas







Our research team is vastly experienced in strategic-focus data modelling and possess a hand-on understanding of predictive analysis that place emphasis on business capabilities and intelligence. Cape research team will bring the best analysis tools to bear in creating a sustainable model for your organization. Our team prioritize business organization needs and design a clear analysis framework of approximating core decision-making algorithms. Without understanding the structure and the pattern of relationship of the data, it will be difficult to make a meaningful decision. Hence, our research drive in data science covers many areas.

  • Data Mining
  • Data processing
  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Reinforcement Learning

Country specific economic outlook has remained a major indicator of measuring economic growth and development and because standard of measurement for growth and development does not only cover spectrum of industry and sectorial outputs but also how these outputs affect every citizen on the globe. Therefore, it become imperative to identify and analyze the growth drivers and create block of forecasting that accurately provides recommendations on how relative outputs in different sectors yield significant results.  We understand the underlying macroeconomic principles and apply varying macroeconomic models which includes agent-based macroeconomic computations models, dynamic stochastic general equilibrium models, empirical forecasting models etc. Our aim is to identify economic agent as part of an economy, classify and aggregate economic variables and subject the entire economy to a general equilibrium approach.  We forecast to evaluate consequences of economic agents’ actions in the whole economy, and we provide recommendations based on our trusted judgment of analysis.

Our research team computational skills are exceptional, our applied approaches are unique, and our research findings and results provide necessary information our clients need to implement necessary change. We use both machine learning algorithms and macroeconomic models such as Dynamic stochastic general equilibrium, structural and nonstructural VARS to predict the future direction of the economy before policymaker can decide which policy to adopt.

  • Macroeconomic modeling
  • Forecasting and predicting macroeconomic indicators

We use state-of-the-art approach to conduct

  • Climate change related research

CAPE economic research team study the attractiveness, innovativeness and dynamism of each firm or business in particular in relation to the industry as whole. The major goal in our analysis is to determine the present and future attractiveness of the market as whole and evaluate the opportunities as well as the threats each business firm faces. Based on our analysis, we provide recommendations to firms on their investment strategies and create a structure that will them compete effectively and efficiently in the market.

  • Risk assessment and analysis

Today’s business is changing as it become complex, unpredictable, and volatile each day and consequently, risky. This risk requires an effective and efficient business model that provides material focus on core business capabilities of each firm, and it is for this reason that risk assessment become plausible to determine firm’s risk appetite, risk tolerance and risk responses.  Cape Economic team assess each firm’s size and viability against odds of regulations, competitions and various external and internal factors that can pose a threat to firm’s sales and profit sustainability. Our team’s goals will be to align our client’s principles and objectives to customers’ needs and mitigate against any risk that may characteristically underscore our clients’ opportunities. We will review the risk profile of each entity or institution and develop a data risk model to providing robust solutions to vulnerabilities.


we conduct both quantitative, which includes econometrics and statistical analysis, qualitative analysis, survey design etc., to generate basis for the business direction without compromising the budgetary constraints. For businesses to stay competitively viable, it must understand the choices consumer make each day about its products and services and cautiously pays attention to priority of the consumer’s choices and it is our job, therefore, to carefully review those choices, observe and understand consumers’ priority, focus on timing and able to measure and predict their behavior and estimate how such choices would affect the firms, the industry and the macroeconomy.

In these Sectors

Public Sector service delivery is rapidly changing, with advancements in technology and disruptive innovation as well as changing nature of the relationship between citizens and governments. Our public sector consulting services at CAPE Consulting understands the need to strengthen the institutions that help deliver required social benefits to the people. This is why the team is tasked with the responsibility of identifying and addressing major operational challenges impeding an effective public sector service delivery.  Our focus is on ensuring that public service improves the lives and livelihoods of citizens through the creation of public service models that drive transformation and positively impact society. Our team also provides unmatched research on the cost and benefit of public expenditure, forecasting government revenue, and evaluating government programs among others.

The dynamism of the 21st century necessitates a continuous lifelong learning process that can provide avant-garde knowledge and improved techniques in a more accessible and affordable way of achieving better outcomes.  At Cape consulting, our focus is on providing improved education and employment outcomes for a diverse range of learners to create a wealthier society with equal opportunity and enable new research that builds stronger communities and improves the environment. Our team strives to evaluate the impact of educational policy. We also provide the evaluation and implementation of teaching and learning outcomes of educational programs.

The oil and gas industry is characterized by a lot of volatilities as it is highly vulnerable to various shocks including seasonal factors and geopolitical issues. The global drive for cleaner energy sources introduces a new dimension to the oil and gas industry.  This, therefore, necessitates the need for the industry to strengthen its resilience and adaptation in a fast-changing energy world. The optimal resource extraction of the non-renewable is anchored on the optimal exhaustion model. Hence, with the bounded rationality theory, prior information about market fundamentals of the oil and gas sector can be useful in decision-making that aims to optimize and leverage the short-term opportunity of the volatility.

Telecommunication providers faced intense competition and were hence forced to either diversify their products or leverage the deployment of new technologies to provide new products and as well reach a wider consumer base. To correctly channel the information (either as text, images, or videos), there are several decision-making processes involved such as the choice of network channels, channel bandwidth, transfer speed, security, and many more. These decisions can be made by an operator or automated using data analytics and machine learning algorithms – one of the focuses of our firm. In terms of product deployment and delivery, product engineers often times ignore the market uncertainties of the new technologies and thus, fail at launch. At CAPE, we consider each segment of the different products very crucial to our economic analysis. We provide price and demand forecasts for new technologies and as well conduct market analysis on the underlying conditions of the new products and determine the new and future growth of the products in the face of competition.