Caitlin Caldwell

Data Scientist

Dedicated, passionate, and innovative with related education and research experience to contribute to long-range operational objectives. Skilled at analyzing and interpreting complex data. Able to clean and prepare data for analysis and develop visualizations for analysis and presentation. Comfortable with machine learning methods for both regression and classification, and constantly learning more advanced techniques. Talent for quickly learning new information, procedures, languages, and technologies. Exceptionally organized and able to multitask. Able to convey complex concepts to a variety of skill levels.

Freelance Data Scientist

Developed familiarity with pandas in Python and Tableau for data analysis and data mining.

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Created logistic regression model to more efficiently select daily fantasy football teams, increasing personal win rate.

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Completed multiple capstone projects in various online courses, making use of both supervised and unsupervised machine learning models.

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Used data sets available on Kaggle to further hone data analysis and machine learning techniques learned in courses.

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Research Aide

Laboratory for Atmospheric & Space Physics

Refined Python code of atmospheric effects of asteroid and comet impacts, making use of Monte Carlo modelling, numpy, scipy, pylab, and matplotlib.

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Used data mining and analysis techniques to examine outputs of model and suggesting avenues of future research.

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Submitted two papers for publication in Icarus on modelling subsurface oceans at Triton and effects of asteroid and comet impacts on terrestrial planet atmospheres.

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Graduate Research Assistant

University of Colorado - Boulder

Derived equations to calculate induced magnetic field strength that would remain finite at all input values, improving upon previous version which would only allow for approximations.

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Completed Master’s thesis: "Modeling of Induced Magnetic Fields Due to a Subsurface Ocean on Triton".

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Received NASA fellowship to research effect of asteroid and comet impacts on atmospheres of Venus, Earth, and Mars.

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Utilized Python to create Monte Carlo code which simulated a population of impactors and developed code to calculate atmospheric gains and losses due to individual impacts based on models previously published. Analyzed data and created visualizations to support findings. Made extensive use of numpy and matplotlib.

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Summary

Experience

2017 -

present

2016 -

2017

2013 -

2016

Personal Info

Address

Broomfield, CO 80020

Phone

505-***-****

E-mail

ac5kyd@r.postjobfree.com

Skills

Python

SQL (MySQL, PostgreSQL, tSQL)

Mathematica

MATLAB

Machine learning

Microsoft Visual Studio

Tableau

Hadoop

Spark

bash

SSIS

MySQL Workbench

SQL Server 2014

pgAdmin 4

Jupyter/iPython Notebook

Spyder

ETL

Linux (Ubuntu)

Windows Office (Word, Excel,

PowerPoint)

Developed code in IDL to model magnetic environment of Jupiter and Neptune, as well as the magnetic field that would be induced by a subsurface ocean on Triton (at Neptune) and Europa (at Jupiter).

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Analyzed data, utilizing IDL and Mathematica, to determine how best to detect an ocean at Triton using a variety of mission and ocean parameters, suggesting guidelines for future missions to have best chance of detection.

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Attended professional meetings and communicated findings of research with the larger scientific community.

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Graduate Teaching Assistant

University of Colorado - Boulder

Assisted with teaching and grading 200+ student introductory astronomy courses, making advanced physics and math concepts accessible to a variety of skill levels.

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Hosted review sessions and office hours, working with smaller groups of students to help understand coursework.

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Used Excel to record and calculate semester grades for courses, providing data analysis and visualizations of test and homework scores as needed.

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Instructed class session with self-designed lesson in moons of the outer solar system.

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Master of Science in Astrophysics and Planetary

Science, University of Colorado - Boulder

Recipient of NASA Earth & Space Science Fellowship, which fully funded graduate studies and was one of only 31 Planetary Science Fellowships awarded nationally in 2014.

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Bachelor of Science in Physics; Minor in Mathematics, Colorado Mesa University

• Graduated Summa Cum Laude with a GPA of 3.93.

Online Coursework

Successfully completed multiple courses covering topics in data science, data mining, Hadoop, Tableau, ETL and data preparation, BI tools, machine learning, SQL, business statistics, and database design. Evolutionary Modeling of Atmospheric Abundances Due to Impacts at Venus, Earth, and Mars

Modeling of Induced Magnetic Fields Due to a Potential Subsurface Ocean on Triton

2012 -

2013

Education

2012 -

2015

2009 -

2012

present

Publications

Contact this candidate