Samantha Spivey

Data Scientist

Biography

I, Samantha D. Spivey, was an experienced Analytical Chemist of 15 years within the government sector of environmental forensics. Well versed in data technology, analytics, and machine learning, I have pivoted my career into a strictly Data Science role, or Data Scientist^2 as I like to call to it.

Love for data analytics begun during graduate level statistics courses while working towards my Master’s of Science degree at Colorado School of Mines. The classes were required to utilize the open source software called ‘R’ for all coursework, exams, and final projects and thus an interest in programming also evolved. I have completed certification from Microsoft in Data Science as of April 2019 and I continue to pursue further education in Python, Machine Learning, and Artificial Intelligence topics such as Deep Learning, NLP, and Computer Vision.

Currently located Washington DC but a native of the beloved heart of the USA, Denver, Colorado. Though I love to travel the globe, Denver is home where I’m a superfan of Rugby Union 15s and 7s, an experienced dog rescuer of 7 years, and an avid cross sticher.

Interests

Data Science
Artificial Intelligence
Statistics
Rugby
Crossstich

Education

Data Science Certificate, 2019
Microsoft professional Program
Masters of Science - Analytical Chemistry, 2008
Colorado School of Mines

Skills

Statistics

90%

R

80%

Python

40%

Experience

Senior Advisory Consultant - Dynamic Adversary Intelligence

Deloitte

Aug 2021 – Present Arlington, VA

A Senior Advisory Consultant within Deloitte’s Government & Public Services specifically focused within the Forensic Investigation and Intelligence Analytics sector of Regulatory & Legal Support.

Crime Analyst

Denver District Attorney’s Office

Aug 2020 – Feb 2022 Denver, CO

Data Scientist

CognitiveScale

Jan 2019 – Mar 2020 Austin, TX

Using data from one of CognitiveScale’s healthcare clients to analyze, build features and machine learning models for this client’s open enrollment season in the fall of 2019.

Estimate the effort involved and skills needed from a machine learning perspective for specific

Data Analyst/Data Scientist Intern

October Swimmer

Oct 2018 – Aug 2019 Denver, CO

DATA MINING: Utilize Google’s BigQuery to produce tables and views from SQL queries.
DATA VISUALIZATION: Utilize Google’s Data Studio to produce analytic dashboards connected with BigQuery data.

Quantitative Analytical (Environmental Forensics) Chemist

US Environmental Protection Agency (EPA)

Jun 2003 – Oct 2018 Denver, CO

National Enforcement Investigations Center (NEIC) - Manage projects as a principal analytical chemist for the Plasma and Characteristics Testing Section in support of the Criminal and Civil Enforcement Programs. Analyze complex environmental and hazardous waste samples to identify chemical pollutants in support of EPA regulatory programs. Train new staff by providing guidance and technical direction for instrument operation and project support. Operate an inductively coupled plasma optical emission spectrometer (ICP-OES) and review ICP-OES data. Operate and maintain an ion chromatograph (IC)/mass spectrometer (MS) and review IC-MS and IC data. Analyze and review data for RCRA characteristics, which include the following techniques; pH determination (Corrosivity), water content determination by coulometric Karl Fischer titrations, flashpoint determination (Ignitability), and sample preparation by Toxicity Characteristic Leaching Procedure (TCLP-Toxicity). Provide appropriate QA/QC to insure legally defensible data.