Wendy Navarrete

Intro

Hello there! Welcome to my portfolio website.

As a Data Scientist, these are the main activities that I love doing every day: Using Python as my favorite programming language; implementing Machine Learning Algorithms with SciKit Learn (Linear Regression,K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, Natural Language Processing,Neural Nets and Deep Learning and Support Vector Machines) ; using Pandas for Data Analysis; using NumPy for Numerical Data; running SQL queries; using Python for Web Scrapping; using matplotlib and seaborn for data visualizations; developing Projects to challenge myself everyday.

Check out here my work.

Work

Online News Popularity Prediction
This is a Supervised Learning Project which objective is to predict the popularity of articles published by Mashable website. The machine learning algorithms used for this project were: Random Forest, Support Vector Classification and KNN / K-Nearest Neighbor

Book Recommender
The book recommender has been a good experience to explore Neural Networks. Two approaches were used to create this project, the first one was Matrix Factorization (using Keras) and Restricted Boltzmann Machines (using TensorFlow)

Shopper Segmentation
The objective of this project is to segment shoppers from a dataset given. K-Means, Agglomerative and DBSCAN are the three different unsupervised machine learning algorithms used for the project. At the end of the notebook, you can find the evaluation of those models comparing metrics as ARS (Adjusted Rand Score), NMI (Normalized Mutual Information) and Average Score.

Women Legal Rights in the World
This is an Analytic Report of legal gender differentiation around the world. The analysis of data collected in 187 countries, from 2009 to 2018, highlights the inequity in terms of laws and regulations

Predictions of Admissions to Master's Degree
Using a Linear Regression Algorithm, this project was developed to predict the chance of admission of foreign students to Master's Degree Programs in American Colleges

Experimental Design
From a dataset with historical sales data for 45 stores located in different regions, this project is an Experimental Design to identify the department which the highest number in lost sales, execute some actions to reverse those numbers and evaluate the results.

About

My name is Wendy Navarrete and I am Data Scientist. I was born in Mexico City and lived the last 8 years in USA. My previous jobs, at Walmart Labs gave me the experience to extract, analyze, transform and visualize huge amounts of data.

Nowadays I am working in projects that contribute to increase my knowledge and experience of Python coding, Machine Learning algorithms, Statistical Analysis, Data Visualization and SQL querying.

I am also a good-news searcher, a fervent reader, an open-minded traveler and author of pioneeringwomen.org a website to recollect in one place the achievements of women who have started new journey throughout history.

If you would like to know more about me or if you would like to contact me, please use any of the links below:

Contact

• fa-linkedin
• GitHub
• email

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';