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Hi there! 👋 Welcome to my GitHub repository. Here you'll find a collection of my projects that showcase my skills and interests. Below are some highlights:

Mid-Bootcamp Project: Financial Analysis of 2022

  • Explored the relationship between the three largest stock markets in the US and selected international markets with different key assets, including currencies, rates, commodities, and more.

  • Gathered financial data from Yahoo Finance using web scraping and API techniques.

  • Conducted statistical analysis and visualization of financial data.

  • Conducted hypothesis tests to compare the performance of different assets and daily return data.

  • The analysis can be automated to incorporate current prices, ensuring real-time insights.

    Financial Markets 2022 Presentation in Tableau

    Jupyter Notebook

Final-Bootcamp Project: Predicting Migration Trends

  • Explored the relationship between demographic, economic, and environmental indicators and migration trends in a developed world.

  • Utilized machine learning models to predict migration class and net migration (Classification and Regression models /Supervised Learning).

  • Gathered the dataset by performing web scraping from the World Bank data.

    Final Presentation PPT

    Jupyter Notebook

MicrovanCase (MBA - Customer Analytics Course)

  • Conducted a case study on Grosse Pointe Associates' investigation into the potential market for "microvans."

  • Utilized customer segmentation and multivariate techniques (Factor Analysis, PCA, Cluster Analysis, Regression) to analyze survey data.

  • Provided insights and recommendations for effective targeting and understanding customer preferences.

    MicrovanCase Presentation

    Jupyter Notebook

Market Research Report - MS Teams (MBA - Marketing & Sales Course)

  • Conducted a market research report on MS Teams using our own survey data from 111 participants.

  • Analyzed user demographics, preferences, satisfaction levels, and factors influencing MS Teams usage.

  • Utilized techniques such as Factor Analysis, PCA (Principal Component Analysis), and cluster analysis to gain insights from the data.

    PDF Report

    Jupyter Notebook

Companions Breweries Analysis (MBA - Data Driven Decisions Course)

  • Analyzed data from Companion's Breweries to develop a prediction equation through multiple regression for revenue in the following year.

  • Evaluated potential site acquisitions, Site A and Site B, based on predictive modeling and historical data.

  • Provided recommendations for site selection and considerations for future data collection.

    Assignment Instructions (PDF)

    PDF Report

    Jupyter Notebook

Resource Allocation Project: Autopower Shipping and a Sustainability Case

Autopower Shipping

A Sustainability Case

Feel free to explore each project for more details and code examples. If you have any questions or suggestions, don't hesitate to reach out!

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