Ryan Harty
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Ryan Harty Email & Phone Number

Data Science Decipherer at Fetch Rewards
Location: Old Lyme, Connecticut, United States 9 work roles 2 schools
1 work email found @fetchrewards.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 86%

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Work email r****@fetchrewards.com
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Current company
Role
Data Science Decipherer
Location
Old Lyme, Connecticut, United States

Who is Ryan Harty? Overview

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Quick answer

Ryan Harty is listed as Data Science Decipherer at Fetch Rewards, based in Old Lyme, Connecticut, United States. AeroLeads shows a work email signal at fetchrewards.com and a matched LinkedIn profile for Ryan Harty.

Ryan Harty previously worked as Data Science Apprentice at Fetch Rewards and Data Science Intern at Kennametal. Ryan Harty holds Master'S Degree, Statistical Practice, Gpa 3.95/4.00 from Carnegie Mellon University.

Company email context

Email format at Fetch Rewards

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rharty@fetchrewards.com
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Profile bio

About Ryan Harty

Ryan Harty is a Data Science Decipherer at Fetch Rewards.

Current workplace

Ryan Harty's current company

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Fetch Rewards
Fetch Rewards
Data Science Decipherer
AeroLeads page
9 roles

Ryan Harty work experience

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

Data Science Decipherer

Current

Chicago, Illinois, United States

Nov 2021 - Present

Data Science Apprentice

Chicago, Illinois, United States

Sep 2021 - Nov 2021

Data Science Intern

Pittsburgh, Pennsylvania, United States

Conducting in-depth exploratory data analysis on a large database of variables providing information on the wet blasting process required to prepare high-quality cutting insert blades for the application of a durable coating.Utilizing clustering methods to help visualize and understand complex multivariate interactions in the wet blasting process, as well as reveal anomalies in the process that could be affecting product quality and maintenance costs.

Jun 2021 - Aug 2021

Capstone Statistical Consultant

Collaborated remotely in an Agile environment with students from CMU Africa and Artificial Intelligence and Machine Learning team leaders at JPMorgan Chase to conduct machine learning research on corporate community detection.Utilized Networx and Pytorch to predict quarterly stock prices changes for companies in a detected community, using community structure built from multiple data sources to improve prediction accuracy, and presented findings.

Feb 2021 - May 2021

Data Scientist

Researched multi-task learning algorithms, their practical applications, and their potential for predicting a patient’s stress level given biomarkers and weekly self-survey data to help opioid addiction patients complete treatment.Adapted TensorFlow code and findings of a much larger study on multi-task learning algorithms to give a clear picture of the data requirements and predictive power benefits of a multi-task learning approach and presented findings.

Jan 2021 - Apr 2021

Data Analyst Intern

Pittsburgh, Pennsylvania, United States

Constructed a random forest model to predict which properties with tax certificates in Florida would result in tax deed applications, substantially improving prediction accuracy and smoothing workflow for the delinquency department. Coded the back end of a business intelligence tool using MySQL to compare similar business days over the past five years, then developed the front-end client visualization in MicroStrategy. Developed a method of detecting potential payment outages before they trip… Show more Constructed a random forest model to predict which properties with tax certificates in Florida would result in tax deed applications, substantially improving prediction accuracy and smoothing workflow for the delinquency department. Coded the back end of a business intelligence tool using MySQL to compare similar business days over the past five years, then developed the front-end client visualization in MicroStrategy. Developed a method of detecting potential payment outages before they trip other alerts by monitoring current time between payments and payment volume and comparing them to historical metrics over the past 2 years. Show less

May 2020 - Aug 2020

Actuarial Intern

Henrico, Va

Conducted statistical analysis of Genworth's claims data on the their long-term care policies, focusing on large metropolitan statistical areas. Established statistical grounds for several assumed and unknown trends in claims data that can be used to predict expensive outlier claims in an opaque care market. Created heat maps of expensive outliers to highlight regions where Genworth would be wise to adjust its provider network in order to achieve the best care for its claimants at the best… Show more Conducted statistical analysis of Genworth's claims data on the their long-term care policies, focusing on large metropolitan statistical areas. Established statistical grounds for several assumed and unknown trends in claims data that can be used to predict expensive outlier claims in an opaque care market. Created heat maps of expensive outliers to highlight regions where Genworth would be wise to adjust its provider network in order to achieve the best care for its claimants at the best price. Established method to link provider data to claim outlier data in order to paint a clearer picture of which providers are the cause of outlier claims in large metropolitan areas. Show less

May 2019 - Aug 2019

Home Energy Consultant Intern

Igs

Greater Pittsburgh Area

Led intern efforts in designing two surveys on customer satisfaction and customer preferences, analyzed the resulting data and presented findings to Pittsburgh East management. Refurbished IGS’s sales app as part of a team, proposing quality-of-life improvements for sales reps and visual changes that furthered the IGS’s strategic initiatives. Presented at corporate headquarters about IGS’s current issues in customer retention and online presence and potential solutions in terms of sales… Show more Led intern efforts in designing two surveys on customer satisfaction and customer preferences, analyzed the resulting data and presented findings to Pittsburgh East management. Refurbished IGS’s sales app as part of a team, proposing quality-of-life improvements for sales reps and visual changes that furthered the IGS’s strategic initiatives. Presented at corporate headquarters about IGS’s current issues in customer retention and online presence and potential solutions in terms of sales incentives and visual branding. Developed interpersonal interactions and product communications skills while promoting IGS’s fixed rate, green energy, and home warranty options to customers. Show less

Jun 2018 - Aug 2018

Cashier

Walt'S Market

Old Saybrook

Managed the cash register, organized the storefront, and maintained the storage areas.Worked independently during peak hours and received several bonuses for attention to detail, integrity, and outstanding work ethic.

Jan 2014 - Aug 2017
2 education records

Ryan Harty education

Master'S Degree, Statistical Practice, Gpa 3.95/4.00

Activities and Societies: CMU Men's Club Ultimate Frisbee Team- Core Leadership Team I completed the Master's in Statistical Practice.

Bachelor Of Science - Bs, Mathematics And Statistics, Gpa 3.30/4.00

Carnegie Mellon University

Activities and Societies: CMU Cyphers- President and Treasurer, CMU Men's Club Ultimate Frisbee Team- Core Leadership Team I studied.

FAQ

Frequently asked questions about Ryan Harty

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

What company does Ryan Harty work for?

Ryan Harty works for Fetch Rewards.

What is Ryan Harty's role at Fetch Rewards?

Ryan Harty is listed as Data Science Decipherer at Fetch Rewards.

What is Ryan Harty's email address?

AeroLeads has found 1 work email signal at @fetchrewards.com for Ryan Harty at Fetch Rewards.

Where is Ryan Harty based?

Ryan Harty is based in Old Lyme, Connecticut, United States while working with Fetch Rewards.

What companies has Ryan Harty worked for?

Ryan Harty has worked for Fetch Rewards, Kennametal, Jpmorgan Chase & Co., Biomotivate, and Grant Street Group.

How can I contact Ryan Harty?

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

What schools did Ryan Harty attend?

Ryan Harty holds Master'S Degree, Statistical Practice, Gpa 3.95/4.00 from Carnegie Mellon University.

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