Mut Tulow

Data Scientist

https://talent.gravityer.com/mut-tulow

An applied mathematics student with experience in geospatial analysis, time series analysis, and artificial intelligence.

Salt Lake City

Key Strengths

Demonstrated interest in data-related projects (ETL, data analysis, deep learning).
Experience with Python and R, which are core languages for Data Scientists.
Exposure to end-to-end data pipelines, including API data ingestion and dashboard creation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a self-driven learning approach. The diversity of projects, from geospatial deep learning to fitness tracking, suggests a broad interest in applying data science to various domains. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

chess_analysis

April 27, 2026 – Present

Repository to analyze my chess games and create reports.

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pomodoro_app

April 15, 2026 – Present

A productivity app that creates pomodoro sessions as well as tracks goals.

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ncha_project

February 6, 2026 – Present

ncha_project — GitHub repository

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fitness_tracker

February 5, 2026 – Present

A collection of scripts and databases to help me with my fitness journey.

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ncha_data

January 30, 2026 – Present

R project repo for National College Health Assessment version 3.

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yondu-udonta

May 29, 2025 – May 29, 2025

Project 1 for CS 1400 Class at Utah Valley University

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commercial-trade

December 27, 2024 – February 8, 2025

An end-to-end ETL project with the United Nations Commercial Trade Database.

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nyc-tlc-trips

December 27, 2024 – December 27, 2024

An example end-to-end data engineering pipeline that takes API data and creates a dashboard.

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music-streaming

December 13, 2024 – December 15, 2024

An end-to-end ETL pipeline project for the Million Song Dataset using the Google Cloud Platform.

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geospatial-deep-learning-app

August 21, 2022 – August 21, 2022

geospatial-deep-learning-app — GitHub repository

View Project

Key Strengths

Demonstrated interest in data-related projects (ETL, data analysis, deep learning).
Experience with Python and R, which are core languages for Data Scientists.
Exposure to end-to-end data pipelines, including API data ingestion and dashboard creation.

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.

Mut Tulow

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit