Summary
Overview
Work History
Education
Skills
Projects
Timeline
Generic
Ryan Eccher

Ryan Eccher

Mineola,NY

Summary

Technically fluent AI/ML practitioner with 7 years of business experience across account management, operations, and data‑driven decision‑making. Skilled at translating complex technical capabilities into user‑centric product requirements and partnering with engineering to deliver scalable ML, computer vision, and GenAI prototypes. Seeking an Associate Product Manager role where I can combine my product intuition, cross‑functional leadership, and hands‑on ML expertise to drive feature development and accelerate AI‑powered product innovation.

Overview

7
7
years of professional experience

Work History

Account Manager / Inside Sales

The Northwest Group LLC
Garden City, NY
10.2022 - Current
  • Managed a $1M+ monthly revenue portfolio across 20+ accounts, identifying customer needs and using data insights to prioritize opportunities, improve forecasting accuracy, and guide strategic planning.
  • Partnered with global operations, production, and supply chain teams to streamline workflows, aligning stakeholders around constraints, defining requirements, and improving fulfillment efficiency through analysis of lead times and capacity.
  • Analyzed pricing, availability, and operational risks to recommend corrective actions that reduced delays, improved service reliability, and enhanced customer outcomes — informing roadmap decisions for internal process improvements.

District Manager

ADP
Melville, NY
06.2019 - 07.2020
  • Delivered data‑informed advisory services on payroll, HR, compliance, and tax workflows, uncovering customer pain points and translating them into clear requirements that improved operational efficiency and reduced risk.
  • Built and maintained strategic partnerships with Bank of America and CPA firms, aligning cross‑functional stakeholders to deliver integrated financial and workforce solutions.
  • Analyzed client financials, workforce trends, and compliance risks to produce actionable recommendations that supported long‑term planning and guided decision‑making.

Education

Bachelor of Science - Business Management

University of Arizona, Eller College of Management
Tucson, AZ
01-2019

Post Graduate Certificate - Artificial Intelligence and Machine Learning: Business Applications

The University of Texas at Austin
Austin, Texas, TX
02-2026

Skills

Product Management: Product strategy, feature prioritization, user research, requirements gathering, roadmapping, KPIs, A/B testing, cross‑functional collaboration

AI/ML Fluency: Understanding of supervised/unsupervised learning, NLP, CV, GenAI; translating technical capabilities into product requirements; evaluating feasibility with engineering

Technical: Python (Pandas, NumPy, Scikit‑learn), SQL, TensorFlow, PyTorch, data visualization, Docker, FastAPI, Streamlit, AWS/GCP/Azure

Business: 7 years in operations & account management, sales, stakeholder alignment, revenue forecasting, process optimization, AI adoption strategy

Projects

SuperKart — Sales Forecasting & Model Deployment

  • Led the end‑to‑end development of a revenue‑forecasting product for a retail chain, translating business requirements into a deployable ML solution used for quarterly planning.
  • Partnered with stakeholders to define success metrics, then built and deployed a forecasting model using Docker, Flask, and Streamlit to enable real‑time scenario testing.
  • Improved inventory and regional strategy decisions by operationalizing insights through a user‑friendly interface hosted on Hugging Face Spaces.

HelmNet — Safety Detection (Computer Vision)

  • Designed a computer vision solution to automate safety‑compliance monitoring, reducing manual review time for operations teams.
  • Evaluated user needs and operational constraints, then fine‑tuned a CNN‑based model with transfer learning to detect helmet usage in real‑world environments.
  • Delivered a scalable prototype that demonstrated measurable improvements in compliance visibility and risk mitigation for field supervisors.

Medical Assistant — RAG‑Based Clinical Information Retrieval

  • Built a Retrieval‑Augmented Generation (RAG) assistant to help clinicians quickly surface relevant medical guidance from large reference manuals.
  • Mapped user workflows and pain points, then designed a retrieval pipeline and prompt strategy that reduced search friction and improved decision support.
  • Demonstrated how GenAI can streamline high‑stakes information retrieval, informing future product opportunities in healthcare AI.

Timeline

Account Manager / Inside Sales

The Northwest Group LLC
10.2022 - Current

District Manager

ADP
06.2019 - 07.2020

Bachelor of Science - Business Management

University of Arizona, Eller College of Management

Post Graduate Certificate - Artificial Intelligence and Machine Learning: Business Applications

The University of Texas at Austin
Ryan Eccher