Nick Hafer (nhafer88)

nhafer88

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Location:Davis, CA

Home Page:nhafer88@gmail.com

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Nick Hafer's repositories

Dicom_Coverter

A Python script for converting DICOM images to JPG format. Additionally, this script also moves the files to an archive folder and logs the process as a .txt file

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Amazon_Vine_Analysis

Analyzed written reviews by members of the paid Amazon Vine program and determined if there is any bias toward favorable reviews from Vine members.

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Belly_Button_Biodiversity

Built a dynamic dashboard to analyze human navel bacteria using JavaScript, Plotly, D3, HTML, CSS, and Bootstrap.

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bikesharing

Created visualizations using Tableau to analyze New York bike sharing data.

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Credit_Risk_Analysis

Built and evaluated variety of supervised machine learning algorithms to predict credit risk.

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Cryptocurrencies

Incorporated unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.

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Election_Analysis

Completed an audit of recent local congressional election

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Mission-to-Mars

Web scraped NASA websites and collected data about Mission to Mars. Saved the new data in a MongoDB database and displayed it on a HTML page.

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Neural_Network_Charity_Analysis

Incorporated TensorFlow and deep-learning neural-networks to analyze and classify the success of charitable donations.

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UFOs

Built an interactive webpage to analyze UFO sightings using HTML, CSS, JavaScript and Bootstrap.

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Exploring_Spotify_Trends

Explored trends in popular music for 2021 using Spotify API and Python.

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kickstarter-analysis

Performing analysis on Kickstarter theater campaign data to uncover trends

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Mapping_Earthquakes

Created interactive maps using Leaflet.js, GeoJSON , JavaScript and D3 library to explore earthquakes around the world.

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MechCar_Statistical_Analysis

R programming language, statistics and hypothesis testing to analyze a series of datasets from the automotive industry.

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Mental_Health_Predictor

Building a machine learning model that can predict mental health risk for an individual based on various socioeconomic and enviornmental factors

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Movies_ETL

Performed the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.

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Pewlett-Hackard-Analysis

Analyzed employee database with PostgreSQL.

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portfolio

Created a website via GitHub displaying my work

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PyBer_Analysis

Analyzed and visualized ride-sharing data using Python, Pandas and Matplotlib.

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School_District_Analysis

Analyzed student performance trends and patterns within a school district

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stock-analysis

Analyzed stock data on a list of green energy stocks using VBA

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Surfs_Up

Analyzed SQLite weather database with Python, Pandas and SQLAlchemy and connected the results with Flask.

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World_Weather_Analysis

Analyzed and visualized the weather data of 500+ cities across the world. Generated destinations and travel maps using Google Maps Platform APIs.

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