Data Science

Christopher Denq

Data Scientist, US Department of Defense
BA in Applied Math, University of Illinois Springfield


I am a full-stack data scientist with 2 years of data experience in driving business solutions through data analytics and ML modeling. I am skilled in Python, machine learning (SKLearn, TensorFlow/Keras), Tableau, and SQL. My domain of expertise is in natural language processing (NLP) and machine learning classification/prediction.

With a dual background in industry data science and academic AI research, I bring a multidisciplinary problem-solving toolkit that emphasizes data communicability, user-centered design, and theory-informed application. My experience with AI governance also enables me to lead engineering teams in meeting data governance, algorithmic fairness, and general AI compliance standards.

I am currently doing data science work for the US Department of Department, specifically at the NSWC Crane (Navy Research Lab)—where I am developing an NLP platform to inform the lab's $3.5M research direction, budget, and policy. My passion lies in generating world impact through data-driven insights, particularly at the intersection of ML modeling and user safety.

Last updated: March 27, 2024.

Experience      •       Projects      •       Education      •       Skills

Data Experience
(2 yrs 5 mos)

Data Scientist

United States Department of Defense

Jun 2023 - Present  •  10 mos  •  Full-time
Washington, DC & Crane, IN  •  Remote

• Staffed to Naval Surface Warfare Center: Crane Division (NSWC Crane) as part of Department of Defense (DoD) x National Security Innovation Network (NSIN)'s X-Force Program
• Developing an NLP software solution to ingest, analyze, and model research data to inform federal research budget, direction, and policy


Skills: Machine Learning • Python • NLP • API

Data Scientist (Digital Academy)

Adobe

Mar 2023 - Jun 2023  •  4 mos  •  Full-time
New York, NY  •  Remote

• Handpicked as top 0.8% finalist (25 of 3000) to participate in Adobe Digital Academy’s Data Science Fellowship
• Awarded $26,000 (stipend and tuition) to complete 300+ hours of instructor-led AI education from General Assembly Data Science Program
• Engineered 3 projects for Adobe Digital Academy, including NLP classification model for tagging AI-generated text
• 20% Project & Firm Initiative: developed CNN computer vision model for identifying deepfakes and edited images


Skills: Machine Learning (Regression, Classification, Neural Networks, NLP) • Software Development • Python (Matplotlib, Seaborn, Numpy, Pandas, Scikit-learn, Statsmodel, Requests, Flask) • GitHub • Streamlit • Google Colab (Tensorflow, Keras) • SQL

Data Analyst

Buddhist Tzu Chi Medical Foundation

Nov 2022 - Mar 2023  •  5 mos  •  Full-time
Alhambra, CA  •  Remote

• Optimized patient treatment speed by 25% through streamlining office workflow (automated forms and data insights)
• Engineered 12 data products (dashboards, databases) to inform 25 medical staff operating across 4,200 patients


Skills: Python (Pandas, Numpy) • SQL • Excel

Data Analytics Assistant Instructor

2U - Triology Education Services

May 2022 - Nov 2022  •  7 mos  •  Part-time
Atlanta, GA  •  Remote

• Lead cohort of 35 students in team of 3 teaching staff across 24 weeks of instruction with a 100% graduation rate
• Supported additional 210+ hours of code review and tutoring in weekly sessions and open office hours


Skills: Python (SKLearn, Tensorflow, Matplotlib, Pandas, Numpy, Flask, SQLAlchemy, PyMongo) • SQL • HTML/CSS/JS

Data Analyst Intern

PNC

Jun 2022 - Aug 2022  •  3 mos  •  Full-time
Brecksville, OH  •  Remote

• Created in total 8 data products ranging from SQL scripts to Tableau dashboards that helped internal partners manage their business capacity, health, performance, and risk
• Succeeded in providing insight into the loan originations pipeline across 7 departments; optimizations helped 8+ team managers manage 100k data points


Skills: Tableau • SQL • Python (Matplotlib, Pandas) • Toad • Hadoop
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Data Adjacent Experience
(9 mos)

Computer Science Tutor

Wyzant

Sep 2021 - May 2022  •  9 mos  •  Part-time
Remote  •  Freelance

• Tutored 25+ students from high school to adult learners for 65+ hours; topics range from AP Computer Science to Intro. ML
• Succeeded in helping 25+ students raise their test scores by average of 2.7 letter grades


Skills: Computer Science Theory • Python (OOP) • Machine Learning
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Projects

Featured Projects

Links to personal website home

8 projects

• Selected full-stack data solutions and applied machine learning apps

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Education

University of Illinois Springfield

BA, Applied Mathematics and Philosophy (Ethics)
Minor in Computer Science

Dec 2022 - Exp. May 2026

University of Pennsylvania

BA, Art History and Philosophy (Aesthetics)

May 2021
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Skills

Data Science / Machine Learning

Machine Learning, AI Scikit-Learn, TensorFlow, Keras, Hadoop, Scipy, Statsmodel
Analytics, Visualization Tableau, Pandas, Matplotlib, Numpy, Seaborn, Leaflet.js, Plotly, GMaps API, Web APIs, EDA
Spreadsheet Excel, VBA, Google Sheets, Google Apps Script
Math Statistics, Probability Theory, Linear Algebra, Modeling, Multivariate Calculus, Discrete Mathematics
Domains Clustering/Segmentation, Regression/Forecasting, NLP, CNN, Image Classification, Dimensionality Reduction, Transfer Learning, Deep Learning

Full-Stack Development

Programming Python: OOP & Functional, Data Structures and Algorithms, HTML, CSS, JavaScript, Bootstrap, React.js
Deployment Flask, Streamlit, AWS, GCP Cloud Run, Github Pages
Database Management PostgreSQL (SQL), ETL, MongoDB (NoSQL), SQLite, SQLAlchemy, Pymongo

Miscellaneous

Production Git, Github, Agile (Scrum), Gitlab, Unix
Webscraping Selenium, Beautiful Soup, Splinter, Requests, Webdriver.manager
Other Google Colab, Jupyter Notebook, Visual Studio Code, LaTeX, AutoHotkey (AHK), HotkeyNet (HKN), Microsoft Word, Microsoft Powerpoint, Google Slides, Google Doc
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