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Name: Nate Kist

Type: User

Bio: I enjoy problem solving, coding, working with data, and improving processes.

Location: Houston, TX

Welcome 👋

Welcome! I'm Nate Kist. I recently took a remote data science course at the Flatiron School (NY) to enhance my data processing skills. Below are projects from the course and, eventually, personal projects that I will add as I progress. Feel free to contact me if you have any questions about anything.

Flatiron School - Oct'22 to Feb'23

Nov'22 - Movie Industry Analysis for Microsoft Movie Studios - Group Project - Data analysis using Pandas
Dec'22 - King County Real Estate Modeling - Group Project - Multiple linear regression modeling
Dec'22 - Building a Crypto Trading Dashboard – The First Steps - Blog Post - Data analysis using Pandas
Jan'23 - Class Links Web Scraper - Blog Post - Web scraping using Selenium
Jan'23 - SyriaTel Customer Churn Analysis - Pipelines and classification modeling
Jan'23 - Apple Customer Sentiment Analysis - Group project - NLP and classification modeling
Feb'23 - Twitter Ads 2.0 - Capstone Project - NLP and classification modeling

Personal Projects

Coming soon!

Connect with me:

Nate Kist's Projects

apple_customer_sentiment_classifier

Predicted customer sentiment using NLP and classification modeling.

class_links_web_scraper

Used Selenium to web scrape lesson names and related links from the Flatiron School Data Science course.

crypto_dashboard

Pythonically downloaded trading data (6.6m trade records) from Google Drive and Kraken API. Combined the data and began analysis using Pandas.

king_county_home_prices_linear_regression

Predicted home prices in King County Washington using multiple linear regression modeling.

microsoft-movie-analysis

Joined and analyzed large movie datasets using Python and Pandas.

nate102938

syriatel_customer_churn_classifier

Predicted customer churn at a telecommunication company using pipelines and classification modeling.

twitter_user_classifier

Predicted the primary interest and/or political affiliation of a Twitter user using NLP and classification modeling on the user's most recent tweets.

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