Hands-on Tutorials

Building a self-supervised binary emotion classifier from speech audio

Photo by Paweł Czerwiński on Unsplash

Have you noticed the unsettling feeling of hearing someone say something utterly terrible in a joyful tone of voice? We are used to hearing the emotion of the voice match the content of the speech. This phenomenon can be leveraged to automatically generate weakly labeled data for training a voice emotion classifier.

My goal for the final project at Metis Data Science Bootcamp was to build a self-supervised binary emotion classifier from speech audio. …


Predicting the popularity and importance of the artwork in the collection of the Metropolitan Museum of Art

Photo by Alison Courtney on Unsplash

The Metropolitan Museum of Art, also known as the Met, is the largest art museum in the United States with a permanent collection of over two million works. The permanent collection varies form classical paintings to an extensive collection of modern art. I still remember the excitement I felt the first time I stepped into the museum. It felt like I experienced centuries of human history in just a few hours. …


Scraping Data Scientist Job Listings and Predicting Salaries

Photo by Jonathan Riley on Unsplash

In this Metis Data Science Bootcamp project I wanted to understand how different factors affect estimated salaries for data professionals on a leading employment website. I scraped thousands of job listings, conducted exploratory data analysis of the scraped data, and built a model to predict salary estimates for full-time data scientist and data analyst roles in five cities across the US.

Web Scraping

The biggest challenge for me was getting salary estimate data. Very few listings on the website have salary information, but there is a filter on the search page (see below) that allows setting a minimum expected salary. Thus, for…

Satenik Safaryan

Data Scientist with more than six years of experience working in Operations Management, Data Analytics, Finance and Marketing

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