AI Email-to-Task
Summarizes incoming emails, extracts follow-ups, and creates tasks for ongoing tracking across the Business Analyst team.
Generative AI · Workflow automation · Team adoption
Business Intelligence Analyst in New York. I turn business questions into trusted analytics, useful tools, and AI-powered workflows that teams use every day.
I'm a Business Intelligence Analyst at Vida Shoes International, working across consumer and retail operations. I translate questions about sales, margins, inventory, and returns into clear metrics and useful tools — from self-service Power BI dashboards to Python applications.
Reliable answers start beneath the dashboard. I work with stakeholders and engineering partners to define business rules, validate reporting data, and deliver a Microsoft Fabric migration. I also built and continue to enhance a DuckDB lakehouse for everyday analytical work.
I'm bringing AI into workflows people actually use: email summaries and follow-up tasks for our BA team, plus Python automations built with departmental stakeholders. My work runs from requirements and development through validation, training, and adoption.
Summarizes incoming emails, extracts follow-ups, and creates tasks for ongoing tracking across the Business Analyst team.
Generative AI · Workflow automation · Team adoption
Built and continue to enhance a version-controlled lakehouse: Python ingestion and transformation across eight data sources, reusable business logic, and validation for analytical work.
DuckDB · Python · SQL · Git
A centralized Power BI hub with 15 dashboards for 100+ users. Standardized reporting, row-level security, and training helped reduce ad-hoc reporting requests by 60%.
Power BI · DAX · Self-service analytics
Lead business requirements and validation with external engineering partners, defining Gold-layer business logic for 200+ reporting fields and aligning outputs with financial reporting requirements.
Microsoft Fabric · Business rules · Data validation
Version-controlled Python and SQL workflows automate four recurring C-suite reports, eliminating approximately 50 hours of manual preparation per month.
Python · SQL · ETL
A Python and Streamlit application that surfaces inventory lifecycle anomalies and asset inefficiencies for business review and investigation.
Python · Streamlit · Inventory analytics