Who I Am

I'm a data scientist who loves to learn and help others grow. I am highly attentive to details while still maintaining the big picture view of what I'm working on. I love solving problems, identifying places where projects may fail, and coming up with solutions to fix issues before they occur. I've got strong analytical and communication skills. My time teaching college-level mathematics and statistics prepared me to communicate highly technical subjects to audiences of all levels.

During my career, I've had the opportunity to build a data science team from the beginning stages at an organization three times. This included, but was not limited to:
Building up the data science team
Identifying toolsets (coding, code management, deployment, model evaluation and monitoring)
Defining coding workflow, architecture, and standards
Developing team strategy and roadmap
Gaining organizational and client trust in data science

What I Value

Attention to detail
Great documentation
High quality code
Explainability
Actionable analytics
A collaborative team that shares knowledge
The ability to be creative and experiment
Work-life balance

My Leadership Style

Encourage continued learning, development, and knowledge sharing
Feedback style tailored to the team member's learning style
Encourage asking questions

Press:

Bringing Data Science into your Organization: 3 Part Blog Series
Part 1: Crawl
Part 2: Walk
Part 3: Run

Featured In: Data Scientists: Don’t Let Career Growth Keep You From Coding
Look Beyond Academia to Find Jobs With a Science Ph.D. 101 Careers in Mathematics: Fourth Edition

Principal Data Scientist | PercayAI

Nov 2022 - Current

Senior Director of Data Science | Codility

Jan 2022 - Nov 2022

Data Pillar Lead (Aug 2022 – Nov 2022)
- Provide Codility with the end-to-end data vision, strategy, governance, and data-related feature development with a continued focus on maintaining high integrity data, developing insightful models and analytics to guide stakeholders with clear, meaningful insights to assist in making data-informed decisions, and supporting self-service data exploration with human-centered data and globally defined, consistent metrics.
Data Science Team Lead (Jan 2022 – Nov 2022)
- Built data science team and defined end-to-end data science workflow
- Extract insights using Codility’s vast history of data to build models and product features to add product personalization, reduce manual effort, and provide additional signals to Codility users to help them make the best decisions in their hiring efforts. Assist internal Codility stakeholders when problems benefiting from data science models and services can aid data-driven decision making and reduction of manual effort.

Director of Data Science | MedeAnalytics

Apr 2018 - Jan 2022

Leading team of data scientists to build the future of data science and machine learning at MedeAnalytics by working with product owners to create product specific data transformations, algorithms and models, dashboards, and reports, as well as developing, deploying, and maintaining all data science components and microservices.
Building models through the entire workflow (including but not limited to): problem definition, data cleaning and de-identification, data exploration, feature engineering, model development and evaluation, model deployment and continued management, data visualization and story telling.
Ensuring quality models through in-depth peer reviews, SonarQube, and thorough unit testing.
Continued model evaluation throughout the lifecycle of the model.

Senior Data Scientist | Allscripts

Jul 2015 - Apr 2018

Data Science Team Lead (Jul 2015 - Apr 2018)
Backend Development Team Co-Lead (Feb 2017 - Aug 2017)
Core Team Technical Product Owner (Aug 2017 - Apr 2018)

Lead Scientist | Booz Allen Hamilton

Jun 2011 - Jul 2015

Mathematician
Statistician
Data Analyst
Data Scientist
Analytical Tools Developer

Assistant Professor of Mathematics | Mary Baldwin University

Aug 2010 - Jun 2011

Courses taught:
- Abstract Algebra
- Multivariable Calculus I & II
- Statistical Methods and Theory I & II (new courses Dr. Pitlyk created for the department)
- College Algebra

Graduate Student Instructor | Saint Louis University

Aug 2005 - May 2010

Fully responsible for course material creation, teaching, and grading.
Courses taught:
- Elementary Statistics with Computers, Math 130 (Fall 08, Spring 09, Summer 09, Fall 09, Spring 10)
- PreCalculus, Math 141 (Spring 07)
- College Algebra, Math 120 (Fall 05, Fall 06, Summer 07, Spring 08)