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Nolan Arendt

Nolan Arendt

Data Scientist

Syracuse University, Washington State University | Michigan

Technologies

My Portfolio Highlights

My New Github

Masters Data Science Portfolio

Data Scientist Specializing in Natural Language Processing | Master’s in Applied Data Science | Unlocking Insights from Text Data

My Work

Take a look at my latest work.

github

IMDb Movie Revenue Predictions

Python
github

Reddit Web APIs & NLP

Python
github

Masters Data Science Portfolio

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Code Fellows Code 201: Foundations of Software Development

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Pontoon Solutions | Apr 2022 - Present

Data Scientist

N/A

Pontoon Solutions | Apr 2021 - Apr 2022

Data Analyst

- Created a natural language processing classification model to identify mismatched data at a customer level. - Wrote and deployed scripts using python programming to clean, automate, and pull data. - Developed dashboards using Power BI to represent COVID-19 vaccination levels and inflation changes at a county and region level. - Utilized robotic process automation to update weekly reports and web scraping purposes.
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General Assembly | Oct 2020 - Feb 2021

Data Science Fellow

- Completed a full-time immersive, three month data science course. - Completed and presented several machine learning projects, day long hackathons, and personal projects focused on applications of data science principles. - Delivered a professional capstone project, applying predictive modeling, data visualization, and data gathering.

My Education

Take a look at my formal education

Masters Degree in Applied Data ScienceSyracuse University | 2024
Bachelors Degree in Management Information SystemsWashington State University | 2020

About Me

Nolan Arendt

An innovative Data Scientist who is passionate about constructing data pipelines that are more efficient utilizing functions for automation processes.

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