matiasgrob/finance-demos

Jupyter notebooks for quantitative finance demos

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

• Minimizing the total cost of transporting motors from harbors to assembly plants.

• Determining how many motors to send from each harbor to each plant.

• Analyzing unit transportation costs and optimizing the transportation plan.

  Jupyter Notebook - Autopower Shipping

  Instructions (PDF) - Autopower Shipping

A Sustainability Case

• Minimizing pollution while meeting emission reduction standards.

• Optimizing the implementation levels of pollution-reduction methods.

• Evaluating the cost of implementing each measure and its impact on pollution.

  Jupyter Notebook - A Sustainability Case

  Instructions (PDF) - 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!