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  • Philadelphia, Pennsylvania
  • 03:04 (UTC -04:00)
  • LinkedIn in/alex-bogden

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AlexBogden/README.md

Hi, I'm Alex Bogden

I'm a data analyst with a foundation in full-stack development from Tech Elevator's Java bootcamp and hands-on experience in data quality and AI evaluation work.

I'm currently running an independent analysis project on Canadian land border crossing trends using PostgreSQL and DBeaver, and sharing findings progressively on LinkedIn.

I combine technical fluency with strong communication skills, comfortable working with data and equally comfortable explaining what it means to a non-technical audience.

Featured Projects

  • Canadian Border Crossings Analysis — SQL analysis of Canadian land border crossing trends from 2024 to 2026 using BTS data. Focused on data validation, geographic breakdowns, and event correlation.
  • Family Reading Tracker — Full-stack capstone app (Java, Spring Boot, React, PostgreSQL). Tracks reading activity with parent/child roles and prize system.
  • TrendTap — Personal project using Spring Boot + React with YouTube API integration.
  • TEBucks — Peer-to-peer payment app (CLI + Spring Boot API) with BigDecimal transaction logic.
  • Vending Machine — Java console app implementing OOP principles, file I/O, and change algorithms.
  • fastai-course — Notebooks and experiments from the Practical Deep Learning for Coders course.
  • tedify-ai — Early AI experiment: transforms YouTube videos into TED-style summaries.

Technical Skills

SQL PostgreSQL Java Spring Boot React JavaScript Python Maven JUnit

Connect

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  1. canadian-border-crossings-analysis canadian-border-crossings-analysis Public

    SQL and Python analysis of Canadian land border crossing trends from 2024 to 2026, using publicly available data from the Bureau of Transportation Statistics (BTS).

    Python

  2. family-reading-tracker family-reading-tracker Public

    Full-stack app with Java, Spring Boot, React, and PostgreSQL to log family reading sessions and track rewards.

    Java

  3. trendtap trendtap Public

    Full-stack app with Java, Spring Boot, React, and PostgreSQL that integrates the YouTube API via RapidAPI for content discovery.

    Java

  4. TEBucks TEBucks Public

    Java/Spring Boot REST API + CLI for peer-to-peer transfers with authentication, balance tracking, and PostgreSQL persistence.

    Java

  5. vending-machine vending-machine Public

    Java console app simulating a vending machine with Map-based inventory, precise currency handling (BigDecimal), change-making, and transaction logging.

    Java