プロフィール詳細

プロジェクトを作成

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Conner K.に依頼

United States

Deep Tech Strategist | Product Innovation, Systems Engineering, and TCO/Techno-Economic Analysis

プロフィール概要

My work sits at the intersection of emerging technology, product development, and commercialization strategy. I support teams working with complex or early-stage technologies by combining systems engineering thinking, quantitative analysis, and techno-economic evaluation to help translate technical possibilities into viable products and business decisions. I have experience across industrial and sustainability-focused contexts, including advanced materials, bio-based and packaging systems, manufacturing processes, and data-driven product development. My approach integrates engineering feasibility, scale-up considerations, cost modeling, and market constraints, allowing me to contribute both to early technical concept development and to structured decision support around readiness and commercialization pathways. Technically, I work with analytical and modeling tools including Python, SQL, and applied statistical methods, and I have experience with optimization, predictive modeling, and data visualization to inform technical and economic trade-offs. I am particularly interested in projects that involve cross-disciplinary challenges, such as bridging physical and digital systems, evaluating novel materials or processes, and helping emerging technologies move from concept toward real-world implementation.

専門分野

• ★ Industrial Operations Research
• ★ Artificial Intelligence
• ★ Sustainable Development
• ☆ Materials Science & Engineering
• ☆ Biomaterials
• ☆ Collagen
• ☆ Bioplastics
• ☆ Information Technology
• ☆ Systems Engineering
• ☆ Industrial Engineering
• ☆ Manufacturing
• ☆ Automation
• ☆ Predictive Modeling & Analytics
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Natural Language Processing
• ☆ Data Architecture
• ☆ Neural Networks
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Business Analytics
• ☆ Financial Modeling
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Applied Mathematics
• ☆ Mathematical Optimization
• ☆ Production & Operations Management
• ☆ Evaluation Methodology
• ☆ Python
• ☆ SQL
• ☆ R
• ☆ Product Evaluation
• ☆ Supply Chain & Logistics
• ☆ Product Prototyping
• ☆ CAD & 3D Modeling
• ☆ Quality Assurance & Quality Control (QA/QC)
• ☆ Packaging Design
• ☆ Software Development
• ☆ Software QA & Testing
• ☆ Hypothesis
• ☆ Research Methodology
• ☆ Feasibility Studies
• ☆ Gap Analysis
• ☆ Process Design
• ☆ Technical & Scientific Writing
• ☆ Spec Sheets
• ☆ Business Strategy
• ☆ Data-Driven Decision Making
• ☆ Environmental Economics
• ☆ Macroeconomics
• ☆ Microeconomics
• ☆ Economic Evaluation
• ☆ Behavioural Economics
• ☆ Business Intelligence

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Feasibility Study, Technology Scouting, Gap Analysis, Scientific and Technical Research

Consulting Business Strategy Consulting, Go-to-Market Strategy Consulting, Operations Consulting, Scientific and Technical Consulting, Financial Consulting, Regulatory Consulting, Manufacturing Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Data Processing, Data Insights

Product Development Product Validation, Quality Assurance & Control (QA/QC), Product Compliance , Prototyping

職務経験

Director of Business Intelligence

RENW

1月 2024 - 現在

学歴

BA Political Economy

University of Washington

7月 2015 - 6月 2019

認定資格

• MongoDB Node.js Developer Path

  MongoDB

  https://learn.mongodb.com/c/8BZepY09R7CeDfr-DH20ug

  1月 2023 - 現在

• Ethereum Smart Contract Programming 101

  Moralis Academy

  10月 2020 - 現在

• Javascript Programming for Blockchain Developers

  Moralis Academy

  9月 2020 - 現在

• Introduction to Data Studio

  Google

  11月 2020 - 11月 2023

出版物

PREPRINT

Conner Kupferberg(2025). The Cognitive Supply Chain - Architecting Autonomous Decision Engines for Logistics 5.0 . Zenodo