Why Data Should Be the Backbone of Your Company's Culture
A look at why embracing data-driven decision-making is vital for modern companies and how to cultivate this mindset.
ReadI’m Franccesco Orozco — Data Lead at Bloom Growth. I single-handedly architected and deployed the company’s full data infrastructure: dbt models, Snowflake warehouse, Fivetran pipelines, Hightouch reverse ETL, and Hex for analytics.
Then I created Scout — an agentic AI data analyst that plugs into the entire stack and answers questions for the whole company in Slack. Self-taught. No CS degree. Just shipped work.
Agentic AI Data Analyst
Scout is an AI agent that connects to our full data stack — Snowflake, dbt models, Hightouch syncs — and answers data questions from anyone in the company, directly in Slack.
No more waiting on analysts. No more ad-hoc SQL requests. The entire company can query their own data through natural language, and Scout handles the rest: writing SQL, pulling context from dbt docs, and returning clean answers.
Built entirely by me. From data infrastructure to the AI layer on top.
@Scout what’s our MRR trend for the last 6 months?
Querying analytics.finance.mrr_monthly ...
No CS degree. No bootcamp. Just an obsession with building things and the discipline to ship them.
Bloom Growth
Data Lead
Joined as the only person working with data. Built the entire data infrastructure from the ground up — from Excel exports to a full modern data stack.
Deepnote
Customer Data Scientist
Short engagement with the collaborative data science platform. Worked on customer analytics and data science workflows.
Straive
Web Research Specialist
Where it all started. Worked in web research while teaching myself Python, building open-source tools, and stacking up GitHub projects until the code spoke louder than any resume.
A look at why embracing data-driven decision-making is vital for modern companies and how to cultivate this mindset.
ReadA practical guide to selecting the right tools, starting small, and optimizing your data stack for performance and security.
ReadGive them the whole perspective of the company, the challenges the business is struggling with, and how data analytics could help solve those issues. Only then can they put their analysis into the context of the company and produce results that have a real impact.
ReadI'm angry. Yes, I'm angry at data science blogs. Which is weird, because data science is blooming right now and we see a wide variety of knowledge being spread at every corner of the Internet. So, ...
ReadOpen to new opportunities. If you’re hiring for data engineering, AI, or anything in between — let’s talk.