# Kayden Schwartz

> Product Data Engineer at Herald

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/kayden

I’m a Machine Learning & Data Engineer with a background in environmental science and climate modeling. I’ve built predictive models using Python, TensorFlow, and Scikit-learn, developed LiDAR-based approaches to forest carbon estimation, and applied Monte Carlo simulations to large-scale climate datasets. My work spans startups and research, from building automated testing pipelines at Herald API to modeling carbon emissions in industry. I’m passionate about applying ML and data engineering to tackle complex environmental challenges and build climate resilience.

## Work Experience
### Product Data Engineer @ Herald
Jan 2025 – Present | New York, New York, United States
• Contribute to technical design, code implementation, and cross-functional product development.
• Partner with product and engineering teams to prioritize, design, and deliver data-driven product improvements.
• Build and maintain data pipelines and backend systems powering Herald’s product features and analytics.

### Technical Business Analyst @ Herald
Jan 2024 – Jan 2025 | New York, New York, United States
• Built randomized automated testing pipelines using Python + OpenAI to validate new product features before release.
• Designed and deployed Metabase dashboards to monitor API performance and customer usage patterns.
• Applied SQL and Python-based analysis to inform product improvements and reliability.
• Partnered cross-functionally to align technical tools with business priorities in a fast-paced startup environment.

### Primary Researcher @ Concordia University
Jan 2020 – Jan 2024 | Montreal, Quebec, Canada
• Researched LiDAR applications for estimating Carbon in Canadian forests
• Contributed to the development of a new model for Canadian forest monitoring
• Effectively communicated and synthesized research findings to diverse audiences

### Teaching Assistant/Tutor @ Concordia University
Jan 2019 – Jan 2022 | Montreal, Quebec, Canada
• Simplified complex topics and difficulties to enhance student comprehension
• Facilitated interactive exercises and projects to foster deeper understanding among students
• Led tutorial sessions to teach a variety of subjects

### Data Analyst @ Sustainability in the Digital Age & Future Earth Canada
Jan 2022 – Jan 2022 | Montreal, Quebec, Canada
• Used high level statistical analysis to make conclusions about data
• Worked on a team to research nature-based solutions in Canada
• Consulted stakeholders and subject experts

### Cook @ Pizzeria Magpie Mile End
Jan 2019 – Jan 2020 | Montreal, Quebec, Canada

### Prep Cook @ La Capitale
Jan 2018 – Jan 2018 | Montreal, Quebec

### Server @ Barcelona Wine Bar & Restaurant
Jan 2016 – Jan 2016 | Brookline, Massachusetts

### Waiter/Cook/Host @ Naviya's Thai
Jan 2014 – Jan 2015


## Education
### Master of Science - MS in Environmental Science
Concordia University
Jan 2020 – Jan 2023

### Bachelor’s Degree in Environmental Science
Concordia University
Jan 2016 – Jan 2020

### Environmental Science
Minneapolis College
Jan 2014 – Jan 2015

### Normandale Community College
Jan 2012 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/kayden-schwartz

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Source: https://flows.cv/kayden
JSON Resume: https://flows.cv/kayden/resume.json
Last updated: 2026-04-01