My Latest Projects

Segmented clients based on their value and built several B.I. tools that have enabled the company to increase sales by 23% and improve customer experience. 

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Performed an EDA, cleaned the data, segmented customers based on an RFM analysis, built two interactive dashboards and a series of Machine Learning models to forecast sales and product demand. All followed by a clear strategy and a a number of recommendations.

Developed, tuned and deployed a series of Machine Learning and Deep Learning models to forecast stock and cryptocurrency prices.

The data was scrapped from the web using Yahoo Finance API and the predictive models were deployed using Streamlit´s API.

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In this Deep Learning project I work with Convolutional Neural Networks, Recurrent Neural Networks, and Natural Language Programming.

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I worked with Tensorflow and Keras mainly, using Python, to predict housing prices with a RNN model. I also created a CNN model to clasify images in a dataset composed of 60,000 pictures.

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In this project I start by cleaning the data and Feature Engineering. Next, I developed a series of models, including, Logistic Regression, KNN, Decision Trees, Random Forest, SVM. Finally, I selected the best model and tuned it to improve its performance.

This project consisted of performing a statistics analysis on a patients´dataset where some  have suffered cardiovascular problems. It included obtaining the centralization, dispersion, skewness and kurtosis measures. Also, analyzing  data distributions and performing hypothesis tests.

Textual data visualization and text preparation process. I developed algorithms to clean texts, remove empty words, punctuation, lematization and  tokenization.

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Performed calculations and operations with Pandas and Matplot Lib. Developed algorithms and functions, read and imported documents. In this project I also wrote functions to create plots, display insights, performed a Exploratory Data Analysis, and more.

I have worked loading and import a WWII dataset to Mongo DB´s IDE. Here I did multiple operations like, inserts, updates, projections, filtering, pipeline aggregations and visualized many findings with MongoDB Compass.

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Fully functional interactive Business Intelligence Dashboard to empower the sales department with indispensable information, plots and KPIS. The dashboard is composed by 4 plots, KPIs, filters that let you segment the information and get new business insights.

Improving the decision-making process with Flour Shop, a Australian Coffee Shop, using analytics. With the transactions for the first months, the owners Laura and Anu want to get insights from an EDA, customer analytics techniques and proposed recommendations.