Welcome to Numeract!
Data Science Driven by Excellence
Make better decisions using Data Science


Data Science requires the right mix of Statistics, Programming, Machine Learning, Visualization, Engineering, and Getting Things Done.


Everything we measure and compute using these measurements has a margin of error. We separate the signal from the noise using Statistics.


R, Python, SQL, Docker, and Spark cover everything from small to big data, research and production, processing and visualization.

Machine Learning

While not rocket science, Machine Learning, and especially DeepLearning (TensorFlow / PyTorch), can definitely fly a rocket.


Visualization tools such as ggplot2, Shiny, plotly, d3js, can create excellent graphs with a touch of interactivity.


While Research and Agile Prototyping are fun, Production Deployments must be built using best practices.

Getting Things Done

Motivation might provide the spark, but Perseverance drives the steady pace race.


The path of a typical Data Science project

  • Know the problem

    Data does not exists in a vacuum, it comes with context and human knowledge. Your Domain Specific Knowledge is paramount in answering questions about the data and guiding the project.

  • Explore the data

    A quick look at the data brings more questions, but also removes unfeasible paths from the analysis. Early actionable insights are always welcomed.

  • Process

    Machine Learning algorithms are applied to create and validate forecasts. Optimization, including parallelization, is employed as needed.

  • Review and Repeat

    We have the forecast / prototype / deployment. Does it make sense? Can we improve its performance? Does it scale?

  • Your


Mike Badescu, PhD

Mike Badescu, PhD

Data Scientist and Founder

Lives in Dallas, Texas

Accomplished Data Scientist with advanced quantitative skills in various facets of economics, finance, marketing, and statistics. More than fifteen years of analytical and research experience, both professionally and in academia.

Contact us

(214) 810