Ariana Moncada

About Me

I am a recent graduate of the Masters of Data Science program at the University of San Francisco. Prior to joining USF, I was an undergraduate Research Assistant in a Solar Forecasting Lab at The Texas Sustainable Energy Research Institute. Some of my interests include Computer Vision, Machine Learning, Time Series and Geospatial Analysis applied to various domains including renewable energy, utilties, and IoT sensing.


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I am proficient in Python 3.7+, Apache Spark, and SQL


I use the Mac OS

Featured Projects

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Math to Code Converter

  • Flask Web Application
  • AWS RDS (PostgreSQL)
  • Google Analytics

Integrated API calls into our codebase as well as set up a PostgreSQL database to store all user signup information. I used Google Analytics to monitor and analyze network data of our website to determine if we were meeting certain goals. Other Duties: Front-End design using Bootstrap4, Back-End support using Flask.

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California Suicide Rate Prediction

  • PySpark Distributed Computing
  • H2O Machine Learning

Analyzed the feature importance of an XGBoost Model to determine whether or not a relationship existed between number of opioids in a geographical region and the suicide rate in that region.

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Forecasting Zillow Median Home Prices

  • Time Series Analysis
  • Univariate and Multivariate Modeling

Compared various traditional time series models to determine which forecasted the best median home price. A Trend-Exponential Smoothing model performed the best amongst an analysis of 17 models.

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Sentiment Analysis of 2016 US Presidential Election Ads

  • Data Visualization
  • Sentiment Analysis

Through data visualization we analyzed Social Media Ad sentiment and frequencies leading up to both the primary and general election dates of the 2016 US Presidential Election.

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