Data Science Consultant


R 5 years
Python 5 years
SPSS 4 years
Tableau 4 years


Wesley is a Data Scientist and Statistical consultant. He has been providing consulting in a variety of analytic fields including technology, Healthcare, gaming, financial, legal (patents and data research for court cases), and others. He ensures that the data makes more sense and which results in making informed decisions.

TECH STACK:

Programming Languages:

PythonRSQL

Development Tools:

PyCharmSASSAS JMP

Operating Systems:

Ubuntu

Libraries/Frameworks/Tools:

SPSSTableauXLMinerR Shiny

SOFT SKILLS:

Positive Attitude
  5.0 / 5
Team work
  5.0 / 5
Responsibility
  5.0 / 5
Flexibility
  5.0 / 5
Problem Solving
  5.0 / 5
Leadership
  5.0 / 5

WORK PERSONA

English communication
  5.0 / 5
Past work clarity
  5.0 / 5
Client interaction experience
  5.0 / 5
Transparency
  5.0 / 5
Open to learning
  4.8 / 5
Open source contribution
  4.5 / 5

INDUSTRIES SERVED

BusinessFinanceGamesSportsLegalHealthcare

PAST WORK

  • Discrete Modeling of Tennis Tournament using Monte Carlo Analysis

    Data Scientist

    MatlabData Science

    Programmed a discrete multivariate probability model in Matlab using Monte Carlo simulations to predict outcomes of tennis tournament which correctly predicted tournament winner.

  • Undisclosed

    Data Scientist

    PythonRSPSS

    This project was focused on data analysis for the purposes of discovery and research. The client needed a data scientist who could help sift through data and identify areas of significant relationships. Wesley successfully achieved this during his time on the project. He was very communicative in both the questions he asked during the initial phases of the project and throughout. This was reflected positively in the quality of work provided, and the overall results he was able to provide. Wesley's skills were accurately represented and more impressive was his ability to think outside the box and creatively on problems. Wesley also excelled at understanding how this data was used in our business which he used in summarizing his work through carefully curated presentations.

  • Bayesian Movie Analysis

    Data Scientist

    PythonMachine Learning

    Bayesian Regression Analysis on a data set of 651 movies. Used to find out which factors are most important in audience rating (as determined by Rotten Tomatoes). Also, predictive to find out the audience score for a new movie.