Hi, I'm Emilio!
Computer Engineer - Data Analyst - Visual Storyteller - Data Engineer
I am an enthusiastic data analyst open to potential roles in the Nashville Area.
A 24-week intensive program focused on gaining technical programming skills in Excel, VBA, Python, R, JavaScript, SQL-NoSql Databases, API Interactions, Web Scraping, Tableau, Big Data, AWS and Machine Learning.
Graduated with departmental honors.
A recent finance graduate, Steve, wants to help his parents determine how to invest in green stocks, Steve's parents want to invest into DAQO New Energy Corp "DQ" a stock that reminds them of how they met at Dairy Queen many years ago, Steve wants to analyze other green energy stocks in addition to DAQO to get a better picture of the green energy sector and create a stronger portfolio for his parents, an analytical approach, with the performance of others green stocks in 2017 and 2018 he wants to evaluate which stocks may produce better return for his parents.
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Using Python's TensorFlow library to implement a deep learning neural network to help a foundation vet potential donation recipients in order to ensure that the donations are impactful.
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An Analysis of Kickstarter Campaigns Performing analysis on Kickstarter data to uncover trends, With the use of Excel I was able to organized the raw data in order to make the analysis more efficient, the category and subcategory data were parsed into two new columns: a parent category and subcategory, an average donation column was created and calculated by dividing the pledged data by the number of people that donated to the campaign, the deadline and launched at data was displayed in Unix timestamps and were converted to Date data in two columns: Date Created Conversion and Date Ended Conversion, a new column for the year was created too using the new Date created conversion column.
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Using Google Maps Platform APIs, an OpenWeatherMap API, and various Python dependencies to analyze and visualize current weather data for over 500 cities across the world, and generate destinations and itineraries based on filterable weather criteria.
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Using R, RStudio and MechaCar's datasets to perform a retrospective analysis of historical MechaCar data, analytical verification and validation of current automotive specifications and study design for A/B product testing.
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Traversing and retrieving GeoJSON data on earthquakes and tectonic plates from the U.S. Geological Survey website using JavaScript and D3 and Leaflet libraries, and plotting the data on a Mapbox map through an API request.
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A colorado Board of Elections employee has given you the following tasks to complete the election audit of a recent local congressional election.
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In this challenge we will analyze the student grades from different high schools, we will look into some discrepancies due to incorrect math and reading scores for Thomas High School 9th graders.
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PyBer is a ride-sharing app company valued at $2.3 billion and they just asked for the analysis of its rideshare data from January to early June of 2019, this analysis aims to use the data provided in a CSV file format from where we will group by different location types: Urban, Suburban, and Rural to be able to represent the total weekly fares for each location.
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We create a system to look at different weather patterns around the world and offers insights to travelers who want to book a trip, we create three folders with different levels of analysis: weather database, vacation search, and vacation itinerary.
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The purpose of this analysis is to address the aging workforce at Pewlett Hackard, a large long-established company with many employees. We have been tasked with identifying employees who are most likely to retire soon. This analysis was performed with the help us PostgreSQL, pgAdmin, and QuickDBD tools.
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Using Python language through Jupyter Notebook, we will extract data from both Wikipedia and Kaggle files, clean and then combine them, and finally save them into a SQL database to be later stored in the cloud so that the hackathon participants have a nice, clean dataset to use.
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