Wyatt Freeman

Data Scientist

https://talent.gravityer.com/wyatt-freeman

Experience in JavaScript, SAS, Python, RStudio Machine Learning, Analytics, Microsoft SQL Server, Visual Studio C#, and HTML5/CSS.

Raleigh NC

Key Strengths

Demonstrated interest in Data Science through various personal projects (e.g., credit_card_clustering, telecom_churn, happiness_survey_analysis).
Experience with core machine learning concepts including clustering, linear/logistic regression, and random forests.
Familiarity with Python and Jupyter Notebook for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a self-driven interest in exploring various data science applications, which could indicate a proactive learning attitude. However, the projects are all personal and lack team collaboration context. The diversity of projects (ML, web, bots) suggests a broad curiosity, but also a potential lack of deep specialization in one area. Alignment with a senior Data Scientist role is limited due to the personal nature and lack of professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

azure_maps_webpages

April 12, 2024 – April 12, 2024

azure_maps_webpages — GitHub repository

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invest_bot_3

September 15, 2023 – September 15, 2023

invest_bot_3 — GitHub repository

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telecom_churn

February 21, 2023 – February 21, 2023

A case study looking at why telecom customers leave for other providers. Includes EDA, SMOTE, logistic regression, random forest, etc.

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credit_card_clustering

February 13, 2023 – February 13, 2023

A model using K-means clustering to analyze credit card data.

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happiness_survey_analysis

January 19, 2023 – March 13, 2023

Using the data collected in the "Happiness Survey," we will be analyzing how different factors such as sleep, diet, and exercise impact your level of happiness.

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ChatGPT_clone

December 21, 2022 – December 21, 2022

Uses OpenAI API and Gradio to deploy a Chatbot

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Python_Machine_Learning

August 10, 2021 – June 21, 2022

Machine learning with Python

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JavaScriptProjects

July 30, 2021 – September 1, 2021

A collection of JS algorithm and data structures projects

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Business-Analytics-Models

March 6, 2021 – May 17, 2021

Linear regression, logistic regression, cluster analysis, and more.

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Trinity

February 28, 2021 – May 27, 2022

Trinity is a GUI designed for analyzing pulse height spectra

View Project

Key Strengths

Demonstrated interest in Data Science through various personal projects (e.g., credit_card_clustering, telecom_churn, happiness_survey_analysis).
Experience with core machine learning concepts including clustering, linear/logistic regression, and random forests.
Familiarity with Python and Jupyter Notebook for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Wyatt Freeman

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit