Summary
Overview
Work History
Education
Skills
Websites
Project Work
Timeline
Generic

Kyle Ford

Summary

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

Overview

2
2
years of professional experience

Work History

Business Intelligence Analyst

Unum
06.2024 - Current
  • Reduced manual data entry errors by automating routine tasks using SQL scripts and ETL tools.
  • Designed customized data collection models for specific visualization tasks.
  • Created and maintained transformed data assets for a variety of finance related data tables.
  • Aided in the 2025 Sales Goal Allocation process by performing data analysis using Tableau to unearth historical sales trends to inform recommendations.

Carrier Development Analyst

Kenco Logistics
02.2023 - Current

● Identified inefficiencies in spend to market, leading to a reduction of 25% in truckload spend over a two-month timespan.

● Implemented a BI dashboard using Qlik BI software to measure customer spend to market across all customers in the department.

● Performed data validation for a dashboard using Qlik BI software to measure primary carrier use, leading to more efficient carrier selection.

● Converted manual Excel reports into Python Google Colab notebooks, reducing manual processes and improving computational performance.





Education

Master of Science - Computer Science: Data Science

The University of Tennessee - Chattanooga
Chattanooga, TN
08.2023

Bachelor of Science - Mathematics

Tennessee Wesleyan University
Athens, TN
05.2017

Skills

  • Microsoft Office
  • Data Analysis
  • Fluency in C, Python, Java, R, SQL, Tableau
  • Jupyter Notebook
  • Statistical Analysis
  • Machine Learning Libraries Scikit-learn, Tensorflow, PyTorch
  • Data Mining
  • Data Validation
  • Data Visualization
  • Process Improvement
  • Technical Writing
  • Data Quality Assurance Processes

Project Work

  • CNN Mini-VGG Model to predict flooding in Google satellite imaging.
  • LSTM model to generate text from Alice in Wonderland
  • Scikit-Learn Logistic Regression model to classify the winner of NFL games.
  • MLP, SVM, KNN neural networks to classify text files by language.
  • SQL project analyzing sales data of a music record store.

Timeline

Business Intelligence Analyst

Unum
06.2024 - Current

Carrier Development Analyst

Kenco Logistics
02.2023 - Current

Master of Science - Computer Science: Data Science

The University of Tennessee - Chattanooga

Bachelor of Science - Mathematics

Tennessee Wesleyan University