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  • Philadelphia, Pennsylvania
  • 00:34 (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 data analysis project examining Canadian land border crossing trends, combining SQL, Python, and survey data to explore the story behind the numbers, and sharing findings progressively on LinkedIn.

I combine technical fluency with strong communication skills: comfortable writing complex SQL and building data pipelines, and equally comfortable explaining what the data means to a non-technical audience.

Featured Projects

  • Canadian Border Crossings Analysis — SQL and Python analysis of Canadian land border crossing trends from 2024 to 2026, combining Bureau of Transportation Statistics data with individual-level survey data from the Border Policy Research Institute at Western Washington University. Covers geographic breakdowns, event correlation, and data quality validation. Published as an ongoing LinkedIn series.
  • Family Reading Tracker — Full-stack capstone app (Java, Spring Boot, React, PostgreSQL). Tracks reading activity with parent/child roles and a prize system.
  • fastai-course — Notebooks and experiments from the Practical Deep Learning for Coders course.
  • tedify-ai — Early AI experiment transforming YouTube videos into TED-style summaries.

Technical Skills

SQL PostgreSQL Python Java Spring Boot React JavaScript 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, combining Bureau of Transportation Statistics data with individual-level survey data from the Border Policy Resear…

    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