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Data Science Services

Data science helps organisations investigate their data in search of business comprehension. We help organisations optimize on data analytics and insights for business strategies. We assist in analysis of data to provide business apprehension through Big Data technologies.

The Team

derrick
Derrick Majani

US Data Science Manager and Artificial Intelligence (AI) Strategic Leader | Maribel Hermans & Associates

Dr. Jack
Dr. Kasole Wasonga, PhD, CPA, CPFA, CEO, ESIA

Dr. Wasonga is an accomplished governance, risk and control professional

Data Science and A.I


Data Science

What is Data Science?

Data Science is the science of extracting hidden patterns from large data sets

Hidden patterns can appear in form of trends, cycles, associations, rules, groups etc. in the data Data sets usually refer to large volume of cleansed, structured data prepared for the analysis

Science refers to the statistical tools and techniques employed to understand the data and reliability of the identified patterns

That part of statistics which is used to understand the data is called descriptive statistics. Descriptive statistics give vital insights into the data in terms of central values, spread and distribution (shape) of the data.

The part of statistics which is used to establish the reliability of the potential patterns identified, is called inferential statistics.



Machine Learning


We can help you apply analytics throughout your organization to grow, protect and optimize your business by harnessing the latest advanced technologies. The true value lies in embedding analytics deeply into business processes at the point where decisions are made – by human beings.


Machine Learning

  • Can we learn about the world around us using data?
  • Model building from data
  • Take data as input
  • Find patterns in the data
  • Summarize the pattern in a mathematically precise way
  • Machine learning automates this model building

What Maribel Hermans & Associates CPA can do for you

Our services help you to:

  1. Detect fraud and risk management through Data Analytics
  2. Handle Predictive Analysis by building various machine learning algorithms and deployment.
  3. Manage your data risks to secure success
  4. Generate accurate results and thought-provoking insights from your data
  5. Meet spikes and troughs in demand with instant ramp up/down
  6. Free up manual resources for more value-added tasks
  7. Fully maintain access logs, which are essential for compliance and monitoring

Train Model