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I'M
Amber K. Lenon.

DATA ANALYST & PHYSICIST

PROFESSIONAL

MY KNOWLEDGE LEVEL IN SOFTWARE

PYTHON

90%

GIT

80%

MYSQL

70%

BASH

85%

INDESIGN

90%

ILLUSTRATOR

90%

PHOTOSHOP

95%

GOOGLING

100%

Amber is a driven and passionate data analyst, physicist, and aspiring data scientist with 6+ years of research experience in data-driven computational physics. She has significant experience with working on projects involving big data analysis, simulations, data management, and visualization. Amber is passionate about learning new skills and gaining new knowledge, and excels at working both independently and collaboratively on deadline-oriented projects. Her love for data has encouraged her to dedicate time to learning new skills. In order to present information in interesting and simple ways, she is able to utilize her skills in graphic design. Amber’s experience allows her to think creatively about a problem, master new skills quickly and with little supervision, and present information in a clear and concise way for a multitude of audiences.

Headshot of Amber

CONTACT

Don’t hesitate to reach out with the contact information below, or send a message using the form.

amberklenon [at] gmail [dot] com

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Experience

Aug 2016 - Dec 2019

West Virginia University

Graduate Research Assistant

  • Built code in Python to calculate the differences between gravitational waveforms and determine the maximum match and eccentricity at that match for a range of eccentricities.

  • Developed code to submit parallel workflows using HTCondor to speed up the run time of the code.

Summer 2018

Fermilab

Research Scientist

  • Lead and organized the Dark Energy Survey summer internship students.

  • Managed the system in Python that alerts astronomers when a gravitational wave is detected by LIGO.

  • Simulated galaxy catalogs using an astro-simulation library.

Aug 2013 - May 2016

Syracuse University

Undergraduate Research Assistant

  • Analyzed the data for the second gravitational-wave detection (GW151226).

  • Created the figure used in the press conference for GW151226 to show the significance of the detection.

Jan 2020 - July 2021

Syracuse University

Graduate Research Assistant

  • Created informative graphics and gifs using Adobe Creative Cloud to illustrate physics concepts.

  • Conducted a MCMC simulation to determine the sensitivity of Cosmic Explorer to detect and measure the eccentricity of binary neutron stars.

  • Managed large-scale scientific workflows in the HTCondor high-throughput computing environment.

  • Conducted a search in the first and second science runs of the Advanced Laser Interferometer Gravitational-wave Observatory to detect gravitational waves from eccentric binaries using matched-filtering.

  • Used Bayesian inference to measure the eccentricity of two gravitational waves detections.

  • Developed data-analysis software for PyCBC for use in gravitational-wave astrophysics.

Oct 2020 - June 2021

VanguardSTEM

Data Analyst

  • Determined the frequency of STEM role models in the Women Crush Wednesday articles using BeautifulSoup and SpaCy.

Nov 2021 - Present

iRobot

Data Analyst