I bring the software product management cycle to you. Iteratively refining the project scope and the implemented solution. Gathering feedback from clients at each step. And using that feedback to guide work.
You have an important job: run analytics to make key decisions and track progress.
This is not an easy job.
Data analytics requires you to draw a roadmap.
Manage data, software, and hardware.
And lead a team to implementation.
You are tasked with understanding data coming from multiple sources, modeled uniquely, and varying in complexity.
You write or use existing software to analyze that data, making sure pipelines are reliable and compliant.
And you need to constantly refine the questions you ask data.
Tough endeavor.
Software is evolving faster than ever.
Automation is such that one can already produce solid MVPs overnight.
And hosting a swarm of software producers will soon be accesible to a wider audience.
Thus, instructions matter more than ever.
They can build a foundation for ludicrous amounts of operations.
Amounts imagined by few, trending to increase.
When it comes to developing software, I strive to iteratively produce high-quality instructions.
Considering many levels of abstraction.
Understanding past and future of the project.
Thus reducing downstream clutter.
And developing faster.
A real-time web dashboard for monitoring air quality sensors in Chile, built for USACH University. Features live data visualization, WHO guidelines, and automated sensor health tracking. The system includes robust logging, maintenance prioritization, and developer tools for operational excellence. Built with Dash, Plotly, and Pandas. Scalable, modular architecture and on boots impact in environmental monitoring.
A proposal for the DC Public Charter School Board to create interactive dashboards for educational performance metrics using Python and Quarto-based reporting. This solution transforms complex school performance data into accessible visualizations that are fully ADA compliant, responsive across all devices, and seamlessly integrated with their existing AWS data warehouse, empowering stakeholders to make informed decisions about school performance.
A comprehensive database solution proposal for the Olympic Region Clean Air Agency featuring Directus-powered system with AWS RDS for MySQL. The solution includes EPA reporting compliance, mapping technology integration via Leaflet, offline functionality for field inspectors, and a carefully designed migration strategy that preserves historical data while ensuring continuous agency operations throughout the transition.
Founded by Tristán Ignacio Gramsch Calvo, Chincol LLC is a single-member LLC registered in the Commonwealth of Massachusetts.
Get in touch to discuss your data analytics needs
Email: tristangramsch@gmail.com
Location: Boston, Massachusetts, USA
Business Hours: Monday - Friday: 9am - 5pm EST