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Data Scientist

Location:
San Antonio, TX
Posted:
February 25, 2020

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Resume:

MISTY GARCIA

DATA SCIENTIST

***- ***- ****

adbzls@r.postjobfree.com

https://github.com/misty- garcia

ABOUT ME

My love of math and problem-solving led me to a career in electrical engineering. My passion for creating positive change in the world has led me to data science. Data can give us a truth, but data science has the ability to transform data into something more powerful, something more useful, and something that can help humankind. This inspires me. Being able to combine my technical abilities and my passion drives me. EDUCATION

Codeup

Certificate of Completion: Data Science Aug 2019 – Jan 2020 Fully-immersive, project-based 20-week career accelerator that provides students with 670+ hours of expert instruction. Students develop expertise across the full data science pipeline (planning, acquisition, preparation, exploration, modeling, delivery), and become comfortable working with real, messy data to deliver actionable insights to diverse stakeholders.

St. Mary’s University

Bachelor of Science: Electrical Engineering Aug 2004 – May 2008 Honors Program Scholar

PROJECTS

Capstone: Hard Drive Failures Present

On a team of four, determined which hard drives were most prone to early failure. The dataset was built by aggregating open source data from Backblaze.com (cloud storage site) using Spark. Identified primary indicators of early failure from the drive’s SMART stats (drive performance metrics), tested various classification models, and provided a reliability index for drives.

Board Games Are Fun (personal project) Jan 2019

Analyzed board games to determine what makes a top board game. Utilized boardgamegeek.com’s API to build the dataset. Explored parameters that consisted of continuous variables, categories of lists, and descriptions. Tested various models to best predict a game’s ranking. GitHub README Investigation Dec 2019

Used NLP to determine the programming language of a GitHub repository with a partner. Focused on ten different languages, including repositories that were informational without an executable language. Web scraped to build the dataset and utilized regex and lemmatization to clean the corpus. Fitbit User Analysis Nov 2019

Given an activity log from a Fitbit, used time series analysis with a partner to explore trends, find anomalies, and determine user of Fitbit. Utilized various forecasting methods to predict the next two weeks of user activity. Zillow Zestimate Nov 2019

Used clustering methodologies to explore home property data and perform feature engineering with a partner. Built models with clusters based on intrinsic values and utilized linear regression to reduce the log error given in the Zillow database.

EXPERIENCE

Lead Electronic Warfare Engineer

SRC, Inc Jul 2015 – Jun 2019

Performed quality control on hundreds of radar analyses for mission planning tools, ensuring projects used sound engineering analysis and met current intelligence community standards. Supervised a team of five engineers. Trained over ten analysts on radar signal processing, antenna design, and modeling techniques for the combat support database. Designed, instructed, and maintained a four-week training program for foreign countries to utilize the Modern Improved Logging Tool for maximum detection range calculations to be used with mission planning tools. Collaborated with other team leads to enhance workflow and standardize work and project structures in alignment with customer requests and feedback. Provided manager support by presenting current progress to customer and tasking projects to the department. EW Engineer

SRC, Inc Oct 2008 – Jul 2015

Performed data engineering analysis on specialized systems to glean high fidelity performance characteristics and behavioral data on radar, missiles and AAA systems for the Combat Support Database and the Electronic Warfare Integrated Database.

Current Secret Clearance

Expires: June 2021

SKILLS

Applied Statistics, SQL, Anaconda, Python, pandas, PySpark, Jupyter Notebooks, Matplotlib, seaborn, Machine Learning, Git, Natural Language Processing, Tableau



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