Open to opportunities

Rad Turkin

@radturkin

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I build data pipelines, machine learning models, and interactive tools that turn complex data into decisions.

United States

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What I'm looking for

I'm looking to build data products, pipelines, and machine learning solutions that turn complex information into clear, useful decisions, especially for mission-driven teams and community-focused work.

I've built interactive election-data tools at Turkin Consulting, including a Streamlit app that visualizes political trends, voter data, and polling locations across Chicago wards and precincts for local progressive nonprofits.

I design and maintain scalable data pipelines, scrape and clean data, build regression models, and communicate findings through visualizations that support client decisions. My work spans Python, Pandas, geospatial analysis, machine learning, and responsive web applications.

At Adobe Digital Academy, I built machine learning pipelines to identify cultural language across subreddits, using regression and classification models, vectorizers, lemmatization, and text analysis to predict a text's origin and surface distinctive keywords and phrases.

I've also taught Python, Flask, SQL, data modeling, and full-stack development at Strayer University, helping students build maintainable projects through code reviews and teamwork. My background in teaching, public programs, and community organizing helps me make complex technical work clear, practical, and useful.

Experience

Work history, roles, and key accomplishments

Current

Member-Volunteer

Current

Virtual Coffee

Oct 2022 - Present (3 years 10 months)

Coordinated and led Zoom meetings on tech and tech-industry related topics.

Zoom Meeting Coordination Tech Leadership

Current

Data Analyst / Machine Learning Engineer

Current

Turkin Consulting

Oct 2021 - Present (4 years 10 months)

Built Streamlit app for visualizing election data trends for Chicago wards and precincts. Designed and maintained scalable data pipelines, built regression models, and used ML for data-driven solutions.

Python Pandas Streamlit Machine Learning Data Pipelines Data Visualization Regression Models

Current

Volunteer

Current

United Working Families

Oct 2020 - Present (5 years 10 months)

Phonebanked, canvassed, and texted community members using Scale To Win products. Worked 12-hour shifts during elections to make meaningful contacts with thousands of community members.

Canvassing Texting Community Outreach

Python Instructor and SWE Subject Matter Expert

Strayer University

Mar 2023 - Sep 2024 (1 year 6 months)

Taught Python and Flask, covering data structures, data types, functions, debugging, IDEs, SQL and relational databases, data modeling, data analysis, schema design, and best practices. Assisted students in full stack projects using Jinja, Python, Flask, SQLAlchemy, and Postgres.

Python Flask SQL SQLAlchemy PostgreSQL Data Modeling Data Analysis Schema Design

Data Scientist Apprentice

Adobe Digital Academy

Mar 2024 - Jun 2024 (3 months)

Designed and built scalable data pipelines for a machine learning model identifying cultural identifiers of subreddits. Built pipelines of regression and classification models, vectorizers, and lemmatization to analyze texts.

Python Pandas scikit learn Machine Learning Data Pipelines regression Classification NLP Lemmatization

Program Coordinator

Chicago Park District

Jun 2014 - Nov 2019 (5 years 5 months)

Managed data and staffing logistics for over 500 programs connecting nearly 10,000 individuals with nature and community annually. Designed data collection surveys for over 100 park staff and thousands of guests, integrating feedback with existing city data to improve programming.

Data Management Survey Design Program Coordination Staffing Data Analysis Community Outreach

Math Teacher

Chicago Public Schools

Aug 2015 - Jun 2019 (3 years 10 months)

Planned and taught advanced high school math courses including AP Statistics, AP Calculus BC, and IB Maths. Tracked standards-based learning and identified classroom trends to guide lesson planning, improving learning and retention by 29%.

Teaching AP Statistics Calculus IB Mathematics Data Modeling Lesson Planning Student Assessment

Education

Degrees, certifications, and relevant coursework

University of Illinois at Chicago

Master of Science in Teaching, Mathematics and Secondary Education

Masters of Science in Teaching with a focus on Mathematics and Secondary Education.

Northeastern Illinois University

Bachelor of Arts; Bachelor of Science, Communications, Media, and Theater; Anthropology

Bachelor of Arts in Communications, Media, and Theater and Bachelor of Science in Anthropology with a minor in Mathematics.

General Assembly

Certificate, Data Science and Machine Learning

Data Science and Machine Learning Immersive program.

Kaggle

Certification, Data Science and Machine Learning

Certifications in Python, Pandas, Intermediate Machine Learning, Data Cleaning, Intro to Deep Learning, and Computer Vision.

FreeCodeCamp

Certification, Web Development and Programming

Certifications in Responsive Web Design, JavaScript Algorithms and Data Structures, Back End Development and APIs, and Scientific Computing with Python.