Resume – Ryan McCurry

Professional Summary

Data scientist and analyst with a background in SaaS and a track record of translating complex data into clear, actionable insights for cross-functional teams. Currently pursuing a master's degree in Applied Data Science (AI concentration, 4.0 GPA) at the University of Michigan.

Experienced across the full analytics workflow — from data pipeline development to modeling to stakeholder communication — with a focus on decisions that drive product and business outcomes. Adept at working across technical and non-technical audiences, with hands-on experience in experiment design, machine learning, and data visualization applied to real-world problems.

Education

University of Michigan

Expected April 2027

Master of Science, Applied Data Science | Concentration: Artificial Intelligence

Currently maintaining a 4.0 GPA while developing expertise in machine learning, statistical modeling, data engineering, and AI applications. Coursework spans math methods for data science, data manipulation, information visualization, and more.

University of Arizona

Graduated December 2019

Bachelor of Science, Management Information Systems & Operations Management | GPA: 3.54

Dual degree combining technical systems knowledge with operational strategy — building a foundation in data-driven decision making, process optimization, and business technology.

Experience

RallyUp

May 2025 – Present

Customer Success Specialist | Remote

Spearheaded an AI chat integration using an internal product knowledge base, reducing ticket volume by 25% and autonomously resolving roughly half of prospective customer inquiries — enabling 24/7 platform coverage without additional headcount.
Managed a high-volume support operation averaging 1,500 tickets per month while consistently exceeding CSAT and SLA targets.
Delivered monthly analytics reports translating customer feedback into actionable product roadmap insights, serving as a key feedback loop between end users and internal stakeholders.
Partnered cross-functionally with product, sales, and service teams to streamline customer onboarding and lifecycle experience.

Under.io

April 2023 – July 2024

Customer Success Manager | Remote

Developed and implemented automated workflows to surface customer insights, enabling proactive growth strategies and improving engagement.
Designed and launched new pricing models following in-depth market research, increasing conversion rates by 10% within three months.
Streamlined onboarding processes, reducing setup time by 75%, which directly contributed to higher NPS and CSAT ratings.
Conducted market analysis to optimize product positioning, reducing customer acquisition cost and strengthening competitive advantage.

Under.io

April 2021 – April 2023

Customer Success Lead | Remote

Analyzed key SaaS platform metrics including clickthrough rate and time on site using Datadog and Tableau to uncover revenue growth opportunities.
Led cost-benefit analyses with the marketing team to refine client acquisition strategies and optimize SaaS landing page performance.
Managed A/B testing for new feature rollouts, identifying client time-to-value metrics and reducing client-reported bugs by 33%.
Integrated financial insights into HubSpot CRM to improve sales cycle tracking and refine pricing structures for better product-market fit.

Skills

Programming & Libraries

Python, R, SQL, pandas, NumPy, scikit-learn, Matplotlib, Plotly, Altair, statsmodels, sympy

Machine Learning & Statistics

Supervised & Unsupervised Learning, Regression, Classification, Statistical Modeling, Hypothesis Testing, A/B Testing, Data Mining, Data Cleaning, Feature Engineering, Probability & Statistics

Data Visualization & BI

Tableau, Power BI, Excel, Dashboard Design, KPI Reporting

Product & Collaboration

Experiment Design, Cross-functional Stakeholder Engagement, Agile, Jira, Confluence, Product Roadmap Feedback

Customer Success & Communication

Customer Lifecycle Strategy, HubSpot, Datadog, CSAT/SLA Management, Stakeholder Reporting, Onboarding