• Data enthusiast • Data Analyst • Business Intelligence
• Economist • Data Driven Product Enhancement •
In this project, I utilize Strava API to download all my workouts, build an ETL pipeline to clean the data, and then upload it to a Google Sheet via Google's API infrastructure. This Google Sheet will served as the foundation for a workout statistics dashboard.
Then I trained a K-Nearest Neighbors Machine Learning model with my workout data to classify the level of effort for each activity.
In this collaborative project me and my team created a music recommendation app using Falsk to deploy a K-Means Clustering Machine Learning model built in Python to suggest songs based on the similarities in audio features between the songs.
In this project I use SQL to undertake an analysis of a company's employees data to answer questions like who is eligible to participate in a mentorship program and what number of employees will retire.
I built this project as a huge coffee fanatic looking for a tool that could help me navigate the vast array of beautiful coffee shops in Austin, Tx. Using Yelp's API and Python for data cleaning I created a Tableu dashboard that maps all coffee shops in the city based on their price and reviews.
The objective of this project is to make a business proposal for a bike sharing app in Des Moines, Iowa using NYC Citi Bike's dataset as a starting point to determine based on a statistical analysis if it's a good idea to undertake this project.
In this project I set out to compare the best machine learning model to analyse credit card risk using Python, Pandas, Imbalanced Learning library and the Scikit Learn library.
In this project we take advantage of the Sklearn and TensorFlow Libraries to build a neural network in Python to then create a binary classifier that is capable of predicting whether applicants for funding will be successful.
In this project I developed a web scraping script using Python to automate a web browser to visit Nasa's websites to extract data about the mission to Mars. The data was stored in a Mongo database. After that, the information was rendered in a web application created with Flask.
In this project I used Rstudio to develop a business analysis of a car prototype that is being built but is having production issues. This is causing problems to the company's manufcaturing team's progress. With this study we determine what is the best course of action.