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Portfolio

Max builds quiet, well-made data systems.

Business Intelligence Analyst in New York. I turn business questions into trusted analytics, useful tools, and AI-powered workflows that teams use every day.

Location
New York, US
Focus
Business analytics · Data systems
Approach
Understand · Build · Validate · Adopt
My colors
Max in a snowy forest
YEP, THAT'S ME
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Introduction
I like systems just like the way I live — simple on the surface, considered underneath.

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.

Skillset
Daily driver

SQL · Python

SQL · Python

T-SQL, Pandas, reusable transformations, reconciliation, and automated reporting.

Daily driver

Power BI · DAX

Power BI · DAX

Self-service analytics, semantic models, row-level security, and stakeholder training.

In active use

AI Workflows

AI Workflows

Email summaries and follow-up tasks used by the BA team; automations built around recurring work.

Business ownership

Microsoft Fabric

Microsoft Fabric

Business requirements, Gold-layer logic, data validation, and coordination with engineering partners.

Built & running

DuckDB Lakehouse

DuckDB Lakehouse

Python ingestion and transformation across eight data sources, with reusable logic and validation.

Core craft

Data Modeling

Data Modeling

Business definitions, dimensional models, data governance, and consistent reporting metrics.

End to end

Stakeholder Delivery

Stakeholder Delivery

Requirements, prioritization, validation, training, and helping teams adopt the tools.

Development

AI-Assisted Building

AI-Assisted Building

Claude Code, Codex, and Git for developing and iterating on Python workflows and analytics tools.

Selected Projects
Team workflow

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

Data foundation

Operational DuckDB Lakehouse

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

Self-service BI

Analytics People Can Use

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

Data integrity

Fabric Migration & Validation

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

Automation

Executive Reporting Workflows

Version-controlled Python and SQL workflows automate four recurring C-suite reports, eliminating approximately 50 hours of manual preparation per month.

Python · SQL · ETL

Business tools

Inventory Anomaly Detection

A Python and Streamlit application that surfaces inventory lifecycle anomalies and asset inefficiencies for business review and investigation.

Python · Streamlit · Inventory analytics

Contact
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© Max · New York