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hello-jpark/README.md

Hi there ๐Ÿ‘‹ I'm Jonathan P!

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๐ŸŒŸ About Me

I am a passionate Data Engineer, Analytics and Business Intelligence Developer with 2+ years of experience transforming business needs into actionable, data-driven solutions across Finance, Operations, and IT. With my previous 4.5+ years of academic and industry experience in quantitative research and biomechanical analysis, I bring a unique foundation in extracting insights from complex datasets โ€” from biomechanical data to enterprise business intelligence.

My journey began in the field of biomechanics, where I honed my analytical thinking through scientific inquiry and large-scale data analysis. This foundation naturally evolved into a career in data engineering, data analytics, and BI, where I now help organizations surface key insights and enable data-driven decision making.

Iโ€™m proficient in Python, R, SQL, Power BI, Azure, and Jupyter Notebooks, and have hands-on experience with building interactive dashboards, statistical models, ETL pipelines, and machine learning workflows.

Iโ€™m always open to connecting and collaborating on opportunities where data can drive meaningful change within an organization.


๐Ÿ› ๏ธ Tech Stack & Skills

Skill Category Tools / Technologies
Business Intelligence Power BI (Paginated Report Builder, Service, Power Query, DAX), Excel (Power Query, Lookup, Pivot Tables)
Cloud Platforms Microsoft Azure (Data Factory, Synapse Analytics, Databricks)
Programming / Scripting SQL (T-SQL, Stored Procedures), Python (pandas, numpy, scikit-learn)
ETL & Data Integration Azure Data Factory, SQL-based ETL, Advana, Power Automate
Data Modeling & Warehousing Star Schema Design, Bridge Table, Semantic Models, Medallion Architecture Framework
Version Control & DevOps Azure DevOps, GitHub
Analytics & Reporting Ad-hoc Analysis, KPI Tracking, Dashboard Design, Month-End Reporting Automation
Testing & QA UAT Test Case Creation, Report Validation, Debugging BI Reports
Soft Skills & Communication Cross-functional Collaboration, Stakeholder Support, Help Desk (94+ tickets resolved)

๐Ÿ“Š Projects


๐Ÿ’ก What I'm Learning

  • Azure Data Fundamentals: Delving into Azure's comprehensive suite of data services.
  • Microsoft Fabric: Exploring the unified analytics platform for end-to-end workflows.

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  1. eCommerce-App-Store-NLP-Project eCommerce-App-Store-NLP-Project Public

    Project related to natural language processing of eCommerce App Store reviews dataset from Kaggle.

    Jupyter Notebook

  2. CBC-Marketplace-YouTube-API-Project CBC-Marketplace-YouTube-API-Project Public

    This repository focuses on analyzing CBC Marketplace's YouTube videos, specifically analyzing the video statistics, as well as comparing CBC News YouTube user engagement metrics against other Canadโ€ฆ

    Jupyter Notebook

  3. Bike-Share-Service-Usage-Analyses-Project Bike-Share-Service-Usage-Analyses-Project Public

    Compilation of completed work in SQL and Tableau for analyzing a popular Canadian bike share service dataset.

  4. NLP-Hotel-Reviews-Project NLP-Hotel-Reviews-Project Public

    Data wrangling, exploratory data analysis, and regression analysis in Python on hotel reviews.

    Jupyter Notebook

  5. Public-Health-Mosquito-Statistics-Project Public-Health-Mosquito-Statistics-Project Public

    Data wrangling, exploratory data analysis, and regression analysis in Python on a public dataset of mosquito species and West Nile Virus prevalence.

    Jupyter Notebook

  6. Data-Analytics-and-Visualization-Virtual-Experience Data-Analytics-and-Visualization-Virtual-Experience Public

    Completed work in Excel and PowerPoint presentation for Accenture's virtual experience program on Forage.