HELLO, MY NAME IS

Rose Torres

Business & Data Analyst

databyrose@gmail.com
About Me

I’m a data and business analysis professional based in Toronto who combines experience in large-scale GovTech systems with recent graduate-level specialization in data analytics.

I ensure organizations can trust their data and use it to make better decisions.

I combine enterprise experience in large‑scale GovTech systems with advanced analytics training and hands‑on work in Python, Power BI, SQL, and predictive modeling. My approach pairs rigorous data validation and lineage with clear, stakeholder‑focused reporting so insights are accurate, explainable, and operationally useful.

My background includes end‑to‑end business analysis, SQL‑driven reconciliation, SIT/UAT and defect triage on mission‑critical platforms, and recent graduate‑level analytics projects that produced reproducible models and dashboards. I use AI tools to accelerate exploration and prototyping, always applying human validation, audit checks, and documentation before delivering results. I’m focused on roles where data quality, regulatory awareness, and actionable insights matter—public sector, healthcare, finance, education, utilities, and transit.

What I Do

From data integrity to decision intelligence, I connect every layer of your analytics ecosystem. These services show how I make that transformation real.

Data Validation and Lineage

Map data flows, author reconciliation SQL, and fix upstream issues so reports match production systems.

Analytics and Reporting

If you are looking for a developer who’ll take over the research and development of your website, I am a well-established professional to help you with this.

Predictive Models for Operations

Deliver compact, interpretable models with capacity‑aware metrics (Precision@K, Lift@K) so teams can act within resource limits.

Stakeholder Enablement

Translate technical findings into concise recommendations, run training sessions, and produce handover documentation for adoption.

See My Projects

Mental Health Crisis Demand Overview Dashboard

 Built a predictive system that identifies which Toronto neighborhoods are likely to experience a surge in crisis calls one week ahead of time. Think of it as a weather forecast — but for mental health crisis demand.

IT Expense Overview Dashboard

Built a centralized, interactive dashboard that would give stakeholders a clear, at-a-glance view of their IT spending landscape and enable data-driven budgeting decisions.

Housing Price Prediction Dashboard

 Built a predictive analytics solution that identifies which property features drive housing values and enables accurate price estimation. The outcome is a data-driven methodology that transforms raw housing attributes into reliable price predictions—useful for buyers, sellers, and real estate professionals.