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Rodrigo Parra

Mathematician Data Scientist Developer

Hello,

I'm a PhD in Pure Mathematics turned Developer turned Data Scientist.

A typical day of my life includes: data exploration, data transformations and removal of noise, experiment design, machine learning model training, validation, testing and orchestration. My day might also include mentoring peers and support other areas where advanced quantitative knowledge might be required.

I run weekly seminars in Machine Learning and Statistical Methods to provide training to those looking to advance (or switch) their careers in Data Science

  • Name: Rodrigo Parra
  • Education: PhD. Mathematics
  • Current: Senior Data Scientist
  • Location: Chicago, IL, USA

Skills

Machine Learning

Supervised, Unsupervised and Reinforcement Learning

Deep Learning, NLP techniques

AutoML Parameter Tuning, ML Orchestration and Deployment

Advanced Mathematics

Probability and Statistics, Stochastic Analysis

Functional Analysis, Advanced Calculus and Linear Algebra

Numerical Methods

Programming

C/C++, Python, R, JavaScript, C#

OOP, OO Design, Algorithms and Data Structures

Data

SQL, NoQSL, Data Lakes

MSSQL, PostgreSQL, MySQL, Redshift, Snowflake, CouchDB, MongoDB, S3, HDFS

Analytics

Business Intelligence

Periscope, Tableau, matlibplot, ggplot

Team Player

Managed Analysts and Data Scientists. Bridge between Engineers, Analysts and Executives

Hardcore believer in Radical Candor and Strategic Planning

Agile

Leadership-and-collaboration

Continuous Integration / Deployment

Mentoring

Over a decade of experience teaching Calculus, Linear Algebra, Differential Equations, Complex Analysis, etc.

Professional mentoring on SQL, Machine Learning techniques and tools

Work Experience

  • Clearcover Inc.

    Jun 2017 - Present
    Chicago, IL

    Senior Data Scientist

    Machine Learning

    → Leading the Machine Learning research, development and deployment of company’s segmentation engine

    → Built from the ground up a Data Science Ecosystem to create a CI/CD workflow around Machine Learning and Analytics. The ecosystem leverages our Data Warehouse, together with Databricks’ Spark/Python/R clusters and MLFlow for Machine Learning orchestration and deployment pipelines.

    → Mentoring, through regular seminars, for analysts and engineers with an interest to pursue Data Science as a career


    Business Intelligence

    → Managed BI analysts to provide reporting services. Provided SQL mentoring, implemented coding best practices and developed a workflow to serve the different units of the company


    Analytics

    → Developed and deployed retention logic

    → Wrote premium algorithm for California (Python / PostgreSQL) to pair and test policy administration system

  • Consultant

    Jan 2016 - Jun 2017
    Chicago, IL
    Santiago, Chile
    Lima, Peru

    Quantitative Analyst and Big Data Consultant

    Client in the Retirement Financial Advisor sector

    → Designed and developed (in R) back-end engine for an Efficient Frontier portfolio allocation

    → Developed Monte Carlo simulations for asset returns to be used in financial advisor app (R / JavaScript)

    Client in the Big Data provider sector

    → Admin support for Hortonworks Hadoop Clusters. Yarn Queue Configurations, Hive functional testing

  • MathWorks Inc.

    Jan 2014 - Dec 2015
    Natick, MA

    Senior C++ Software Engineer

    → Translated Matlab code prototype from the newly created “Simulink Interface View” into C++ code base

    → Led the development and implementation of the new “Simulink Function Blocks Traceability”:

        ➠ Helped designed (UML) classes for back and front end. Wrote (C++) the functionality of the back-end classes

        ➠ Enhanced UI behavior of in-house routing algorithms for these newly added function-caller connections

  • Talk3 Inc.

    Aug 2012 - Dec 2013
    Chicago, IL

    Network Scientist

    Researched and developed metrics to understand the behavior of the Semantic Networks arising from in-house NLP algorithms

    Enhanced NLP based pattern-matching techniques for recommender system

    Implementation and deployment of statistical tools for analysis of massive data

  • University of Michigan

    Aug 2007 - Dec 2011
    Ann Arbor, MI

    Math Research & Instructor

    Obtained the sharpest description of the Green Current, generalizing all of the available results at the time


    Papers:

    → The Jacobian cocycle and equidistribution towards the Green current (arXiv)

    → Lelong numbers on projective varieties (Ann. Fac. Sci. Toulouse Math. (20) n 4, 2011, pp. 781-800)


    Instructor:

    → Calculus

Education

  • University of Michigan

    Aug 2007 - Dec 2011
    Ann Arbor, MI

    PhD Mathematics

    Equidistribution Towards The Green Current.

  • Royal Institue of Technology (KTH)

    Apr 2006 - Jul 2007
    Stockholm, Sweden

    Licenciat i Matematik

    Complex Geometry and Pluripotential Theory.

  • Pontificia Universidad Catolica de Chile

    Mar 2003 - Dec 2005
    Santiago, Chile

    MSc Mathematics

    La Medida de Equilibrio en Dinamica Compleja.