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sean-atkinson/README.md

Hi, I'm Sean!

  • ⚡ A little about me:
    • Toronto is home.
    • The furthest city from Toronto in the world? That’s where my wife was born.
    • I'm a Liverpool FC supporter.
    • I love Formula 1.
    • I'm a runner.
    • I think gloomy weather is the best weather.
    • I find great joy in the seemingly illogical and nonsensical.
    • My two-year-old likes to test my devotion to her on a daily basis by placing herself in increasingly dangerous situations.

Some of the languages and tools I use:

Python MySQL PostgreSQL Oracle Jupyter Notebook Visual Studio Code Git GitHub TensorFlow

You can find me here:

Pinned

  1. elist_ecommerce_analysis elist_ecommerce_analysis Public

    This project conducts an analysis of an e-commerce retailer, examining sales trends, marketing channels, and operational efficiency metrics to pinpoint opportunities for growth and optimization.

  2. row_health_wellness_program_analysis row_health_wellness_program_analysis Public

    This analysis evaluates a tech-forward insurance company's Wellness Reimbursement Program, concentrating on providing recommendations for product and marketing teams and addressing ad-hoc questions…

  3. conversational_ai conversational_ai Public

    This Conversational AI project aims to develop a chatbot capable of open and dynamic conversation, utilizing a knowledge-grounded human-to-human conversation dataset to create engaging and responsi…

    Jupyter Notebook 2

  4. classifying_dna_sequences classifying_dna_sequences Public

    This hackathon project aims to use a Convolutional Neural Network (CNN) to accurately identify promoter classes for DNA sequencing, leveraging spatial pattern recognition to enhance genetic analysis.

    Jupyter Notebook 1

  5. web_apis_and_nlp web_apis_and_nlp Public

    This project involves collecting Reddit submission posts from r/LiverpoolFC and r/Everton using Pushshift's API, and employing Natural Language Processing (NLP) to train models that can accurately …

    Jupyter Notebook

  6. machine_learning_real_estate_forecasting machine_learning_real_estate_forecasting Public

    This initiative focuses on predicting housing prices using regression modeling, creating a regression model specifically designed to provide millennials with an easy-to-use tool to estimate the app…

    Jupyter Notebook