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Achievement: Pull SharkAchievement: YOLO

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Stephen137/README.md

Hello. My name is Stephen 👋

Experienced chartered accountant, auditor, and business analyst with expertise in finance, data analysis, and process automation. Adept at uncovering business insights, enhancing workflow efficiency, and supporting decision-making through data-driven strategies. Strong technical skills and a commitment to continuous learning in new technologies, aimed at improving business intelligence and reducing uncertainty.

🔭 I recently gained a new Honours certification: Excel/VBA for Creative Problem Solving

🔭 I recently gained two new certifications: Spatial Data Science: The New Frontier in Analytics and Imagery In Action

🔭 I recently gained a new certification: Data Engineering Zoomcamp. My capstone project was peer ranked joint 9th out of 298

Please reach out if you feel I might be a good fit for your team

📫 How to reach me: Linkedin

https://arcg.is/1PPbaa

  • ⚡ Fun fact: I play bass guitar in a rock band - new album in progress!

Tech stack :

Linux VSCode Jupyter Python SQLite PostgreSQL Terraform GoogleCloud Docker ApacheSpark dbt Looker Tableau PowerBI MLflow Weights&Biases



 



  Stephen137



 

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  1. customer_lifetime_value customer_lifetime_value Public

    Transformation of complex Google Merchandise Store BigQuery raw dataset, into business insights and actionable marketing outcomes using SQL and pandas. Baseline XGBoost regression and classificatio…

    Jupyter Notebook 1

  2. end_to_end_data_pipeline end_to_end_data_pipeline Public

    Fully automated csv to dashboard pipeline using Terraform, Google Cloud Storage, BigQuery, dbt, Prefect and Looker Studio. Peer ranked 9 of 298. Explore the dashboard below

    Jupyter Notebook 2 1

  3. stack_overflow_developer_survey_2023 stack_overflow_developer_survey_2023 Public

    Detailed analysis of the Stack Overflow Developer Survey 2023. Link to the blog post below :

    Jupyter Notebook

  4. Agri_Dashboard Agri_Dashboard Public

    Dashboard creating using data from World Bank API,. Front-end Plotly, Bootstrap. Back-end Flask. Deployment Heroku

    Python

  5. disaster_response_NLP_pipeline disaster_response_NLP_pipeline Public

    ETL : Python script, csv, clean with pandas, save to SQLITE database. NLP ML pipeline: tokenizes raw text and classifies. Visualization in Flask app

    Jupyter Notebook

  6. VBA VBA Public

    My VBA script solutions for the course below.