Ryan Harty

Ryan Harty has a diverse range of work experience in data science and analytical roles. Ryan began their career as a Cashier at Walt's Market, where they demonstrated strong attention to detail and work ethic.

After that, Ryan worked as a Home Energy Consultant Intern at IGS, leading efforts in survey design and data analysis. Ryan also contributed to the refurbishment of IGS's sales app and presented on customer retention and online presence.

Ryan then moved on to an Actuarial Internship at Genworth, where they conducted statistical analysis of claims data and created heat maps to identify potential adjustments in the provider network.

Subsequently, Ryan joined Grant Street Group as a Data Analyst Intern, where they developed predictive models for tax deed applications and implemented a business intelligence tool. Ryan also created a method to detect payment outages before they became problematic.

Ryan's next role was as a Data Scientist at Biomotivate, where they researched multi-task learning algorithms and their applications to predicting stress levels in opioid addiction patients. Ryan adapted existing code and presented the findings.

Following that, Ryan worked as a Capstone Statistical Consultant at JPMorgan Chase & Co., collaborating with students and team leaders on machine learning research. Ryan utilized Networx and Pytorch to improve stock price prediction accuracy using community structure.

Ryan then joined Kennametal as a Data Science Intern, where they conducted in-depth exploratory data analysis and utilized clustering methods to understand and visualize complex interactions in the wet blasting process.

Currently, Ryan is employed at Fetch Rewards as a Data Science Decipherer and previously held a role as a Data Science Apprentice. The details of these positions are not available.

Ryan Harty completed their education in a chronological order. Ryan obtained their Bachelor's degree in Mathematics and Statistics from Carnegie Mellon University, attending from 2016 to 2020. Harty then pursued further education at the same institution and earned a Master's degree in Statistical Practice from Carnegie Mellon University, studying from 2020 to 2021. In addition to their academic achievements, Harty also obtained certifications in Data Science and Machine Learning from Triplebyte in December 2020.