Ryan Leonard
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Ryan Leonard Email & Phone Number

Senior Data Scientist at Optum Insight at Cotiviti
Location: Greater Philadelphia, United States, United States 12 work roles 2 schools
1 work email found @changehealthcare.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email r****@changehealthcare.com
LinkedIn Profile matched
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Current company
Role
Senior Data Scientist at Optum Insight
Location
Greater Philadelphia, United States, United States
Company size

Who is Ryan Leonard? Overview

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Quick answer

Ryan Leonard is listed as Senior Data Scientist at Optum Insight at Cotiviti, a company with 7170 employees, based in Greater Philadelphia, United States, United States. AeroLeads shows a work email signal at changehealthcare.com and a matched LinkedIn profile for Ryan Leonard.

Ryan Leonard previously worked as Senior Data Scientist at Optum and Senior Machine Learning Engineer at Change Healthcare. Ryan Leonard holds Bachelor'S Degree, Actuarial Science from Lebanon Valley College.

Company email context

Email format at Cotiviti

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{first}.{last}@changehealthcare.com
86% confidence

AeroLeads found 1 current-domain work email signal for Ryan Leonard. Compare company email patterns before reaching out.

Profile bio

About Ryan Leonard

Dynamic technologist with 8+ years of experience in developing automated solutions to complex problems. Seeking to leverage my consulting skills, python expertise and statistical background to add value to your company.

Listed skills include Microsoft Excel, Data Analysis, Actuarial Science, Spreadsheets, and 33 others.

Current workplace

Ryan Leonard's current company

Company context helps verify the profile and gives searchers a useful next step.

Cotiviti
Cotiviti
Senior Data Scientist at Optum Insight
11000 Optum Circle, Eden Prairie, MN
Website
Employees
7170
AeroLeads page
12 roles

Ryan Leonard work experience

A career timeline built from the work history available for this profile.

Senior Data Scientist

Current

Eden Prairie, MN, US

  • Discovered process inefficiencies causing missed client SLAs. Optimized multiple ETL pipelines resulting in a 90% reduction in the predictive analytics end-to-end process.
  • Team lead for the development of a risk adjusted deep learning model using a generative adversarial network to attempt to learn to classify a member’s missed diagnosis.
  • Engineered web application to monitor and detect bottlenecks in ETL pipelines to provide visibility for downstream projects.
Mar 2022 - Present

Senior Machine Learning Engineer

Nashville, Tennessee, US

  • Advanced the efficiency and effectiveness of model algorithms and surrounding architecture through the development of a more abstract framework that is applied to all modeling objectives.
  • Interacted daily with operational teams to ensure effective integration of analytics and predictive models into production systems.
Oct 2020 - Mar 2022

Ai Python Developer

Nashville, Tennessee, US

  • Increased model visibility through the creation of a process to capture feature importance of any model type; model agnostic permutation feature importance, or MapFi allowed for BI dashboards to visualize the driving.
Dec 2019 - Oct 2020

Rpa Consultant

  • Involved in all aspects from planning to deployment of multiple marketing bots for clients in the pharmaceutical industry using UiPath’s RPA framework
  • Developed a reusable component library to ensure code consistency, ease of implementation and keep projects on time and within budget
Feb 2019 - Dec 2019

Python Developer

  • Designed recognition models for both handwritten and text-based characters capable of continuous learning using deep neural networks leveraging both Keras and TensorFlow machine learning frameworks coded in Python
  • Trained the character recognition models on a GPU based system using the largest known dataset available from the National Institute of Standards and Testing containing 800,000 samples of handwritten digits and.
  • Organized multiple models into committees where the best results are selected based on confidence levels
  • Developed post-recognition routines to enhance accuracy (Previous / Next Letter Confidence Thresholding, Word-Level Likelihood Analysis and Field Level Business Logic)
  • Designed and developed an AI enhanced framework for reading, importing and reconciling data on semi-structured and unstructured PDF business documents such as accounts payable invoices, purchase orders, shipping.
Jun 2018 - Mar 2019

Senior Actuarial Analyst

London, England, GB

  • Developed applications to help clients automate historically manual tasks as a lead application developer on the National Data Solutions initiative
  • Migrated multiple applications back-end databases from Microsoft Access to SQL Server
  • Utilized MVVM approach to design and create customer engaging WPF applications
Apr 2017 - Jun 2018

Actuarial Analyst

London, England, GB

  • Project managed a terminated vested employee bulk lump sum which eliminated over $130 million in pension liability.
  • Performed benefit calculations for participants in a defined benefit plan.
  • Worked on various forms for government compliance, including Form 5500, Annual Funding Reports, PPA Election Forms and Funding Target Certifications.
  • Assisted in the development of a benefit calculator for purposes of a plan termination.
Aug 2014 - Apr 2017

Student

Annville, PA, US

  • Played D3 Men's Lacrosse for 2 years.
  • Studied for, and passed, two actuarial exams.
  • Tutored students in Economics and Finance.
Aug 2010 - May 2014

Actuarial Intern

London, England, GB

May 2013 - Aug 2013

Actuarial Intern

Contribution Health, Inc.
Dec 2012 - Feb 2013

Actuarial Intern

London, England, GB

  • Performed benefit calculations for participants in pension plans.
  • Designed and assembled a database reconciling over 10 years of employee contributions in order calculate present value of accrued FICA tax allocation.
  • Assisted lead actuarial consultants in a multi-million dollar pension plan termination.
  • Expanded Excel and VBA knowledge through multiple benchmarking projects for clients.
May 2012 - Aug 2012
Team & coworkers

Colleagues at Cotiviti

Other employees you can reach at cotiviti.com. View company contacts for 7170 employees →

2 education records

Ryan Leonard education

Bachelor'S Degree, Actuarial Science

Lebanon Valley College

General Education

Lenape High School
FAQ

Frequently asked questions about Ryan Leonard

Quick answers generated from the profile data available on this page.

What company does Ryan Leonard work for?

Ryan Leonard works for Cotiviti.

What is Ryan Leonard's role at Cotiviti?

Ryan Leonard is listed as Senior Data Scientist at Optum Insight at Cotiviti.

What is Ryan Leonard's email address?

AeroLeads has found 1 work email signal at @changehealthcare.com for Ryan Leonard at Cotiviti.

Where is Ryan Leonard based?

Ryan Leonard is based in Greater Philadelphia, United States, United States while working with Cotiviti.

What companies has Ryan Leonard worked for?

Ryan Leonard has worked for Cotiviti, Optum, Change Healthcare, Core Strength Partners, Llc, and Willis Towers Watson.

Who are Ryan Leonard's colleagues at Cotiviti?

Ryan Leonard's colleagues at Cotiviti include Julayne Campbell, Dr. Kavya Garg, Carol Smith, Sumit Sarkar, and K Jhansi Rani.

How can I contact Ryan Leonard?

You can use AeroLeads to view verified contact signals for Ryan Leonard at Cotiviti, including work email, phone, and LinkedIn data when available.

What schools did Ryan Leonard attend?

Ryan Leonard holds Bachelor'S Degree, Actuarial Science from Lebanon Valley College.

What skills is Ryan Leonard known for?

Ryan Leonard is listed with skills including Microsoft Excel, Data Analysis, Actuarial Science, Spreadsheets, Data Entry, Access, Microsoft Word, and Public Speaking.

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