Software & data engineer · Boston, MA

I turn messy data into dashboards, pipelines and software people rely on.

I'm Andre, a Computer Science and Finance graduate from Northeastern University. At Annaly Capital Management and MFS Investment Management I built ETL pipelines, BI dashboards and data checks for financial data; on the side, I build LeadMe.

Education
B.S. Computer Science & Finance, Northeastern ’26
Previously
Annaly Capital Management and MFS Investment Management
Focus
Data pipelines, business intelligence and full-stack work
On the side
LeadMe, plus data science projects

Experience2024 — 2025

Download résumé (PDF)
  1. Jan 2025 — Aug 2025

    Business Intelligence Co-op

    Annaly Capital Management

    New York, NY

    Built a firm-wide Accounts Payable dashboard on a new warehouse schema and Python ETL, automated 10+ accounting workflows in NetSuite, and traced 30+ loans affected by the Palisades and Eaton fires.

    • Python
    • SQL
    • SuiteScript 2.0
    • ArcGIS REST APIs
  2. Jan 2024 — Aug 2024

    Digital Business Analyst Co-op

    MFS Investment Management

    Boston, MA

    Wrote 30+ SQL data checks that keep fund data on MFS.com complete and compliant, built a Java service layer for investment details, and shipped 10+ UI changes to the site.

    • SQL
    • Java
    • JBoss
    • Adobe Experience Manager

Education

  1. Sep 2021 — May 2026

    B.S. Computer Science and Business Administration (Finance)

    Northeastern University

    Boston, MA

    Khoury College of Computer Sciences · GPA 3.7

    • Computer Systems
    • Object-Oriented Design
    • Algorithms and Data
    • Database Design
    • Foundations of Data Science
    • Fundamentals of Software Engineering

Certifications

  • Building with the Claude APIAnthropic
  • Claude with Google Cloud's Vertex AIAnthropic

ProjectsSelected

All projects

Terminal

2026 · Live

A keyboard-first financial workstation built from scratch: a real-time quote plant, 38 function screens, bitemporal market data, entitlements, a canvas chart engine and an audit trail on every number.

  • TypeScript
  • React
  • Fastify
  • PostgreSQL
  • WebSockets
Details: Terminal

LeadMe

2024 · Live

A Python pipeline that spots job changes in LinkedIn posts and enriches them with role, company and location, feeding a TypeScript dashboard that tracks each client through outreach. It has contributed to 6 closed sales.

  • Python
  • SQL
  • TypeScript
Details: LeadMe

Medications: more harm than good?

2024 · Complete

Using the FDA Adverse Event Reporting System, I cleaned and explored the data, then trained k-NN, random forest and SVM models to predict the outcome of adverse drug reactions from demographic characteristics.