Hello, I'm

Ian Allish

Business Analytics & AIAerospace Engineering

Bridging analytical rigor, statistical modeling, and 5 years of systems diagnostics with modern web craftsmanship in TypeScript, Next.js, and Mantine.

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Ian Allish Headshot

Ian Allish

University of Tennessee

Haslam '27 • Tickle '21
About

Who I Am

I'm a graduate student at the University of Tennessee's Haslam College of Business, pursuing a Master of Science in Business Analytics and Artificial Intelligence (expected May 2027). With a B.S. in Aerospace Engineering from UT's Tickle College and five years of hands-on systems diagnostics experience at Best Buy, I bring a cross-disciplinary perspective to data-driven problem solving — grounded in engineering rigor, sharpened by real-world operations, and expanding into machine learning and predictive analytics.

STAT 207 Graduate Teaching Assistant
Haslam MSBA & AI ('27)
Tickle Aerospace Engineering B.S. ('21)
Tickle College Engineering Mentor (2019–2020)
AIAA Member (2017–2023)

60%

Turnaround Reduction

Optimized diagnostic workflows from 4.0 to 1.6 days

3,000+

Annual Client Solutions

Interpreted hardware & software diagnostic telemetry

MSBA + AI

Univ. of Tennessee (Haslam)

Master of Science in Business Analytics & AI ('27)

B.S. Aero

Univ. of Tennessee (Tickle)

Bachelor of Science in Aerospace Engineering ('21)

Skills & Expertise

Analytics, Engineering & Web Tooling

Explore the cross-disciplinary skillset spanning quantitative analytics, full-stack software, and systems optimization.

Statistical Modeling, ML & Data Engineering

Building predictive models, data engineering pipelines, and deep learning systems across Python, R, SQL, and PyTorch. Coursework spans machine learning, decision optimization (Pyomo), interactive data storytelling (R Shiny), and probability-driven customer analytics.

Statistical Methods & Machine Learning

Advanced

Data Engineering & Pipeline Design

Proficient

Deep Learning (PyTorch) & Neural Networks

Developing

Decision Optimization (Pyomo / LP)

Developing

Core Analytics Toolkit

Python (Pandas / Pyomo)
R / R Shiny
SQL
Tableau / Power BI
PyTorch
Predictive Modeling
Statistical Inference
Data Visualization
Advanced Excel
MATLAB
Selected Work

Featured Projects & Implementations

Production web applications, interactive portfolios, and analytical optimization pipelines.

GitHub Repositories
Production Client Website

Trevan Seay Portfolio (trevanseay.com)

Custom portfolio and interactive architecture gallery designed and engineered for an architecture professional. Built with Next.js, TypeScript, and Mantine UI featuring dynamic carousels, responsive grid layouts, and optimized media delivery.

Next.js
TypeScript
Mantine UI
React
Cloudinary
Live Site
Code available upon request
Custom Component Architecture

Personal Developer & Analytics Portfolio

High-performance portfolio built with Next.js App Router, Mantine UI v9, and Tailwind CSS. Features seamless dark/light theme switching, custom tokens, and accessible responsive layouts.

Next.js
TypeScript
Mantine UI
CSS Modules
React
60% Turnaround Gain

In-Person Diagnostic & Workflow Optimization

Evaluated hands-on repair bench operations and in-person diagnostic slowdowns. Identified operational bottlenecks and implemented physical and procedural workflow improvements, reducing total turnaround time by 60% (from 4.0 to 1.6 days) across 3,000+ devices annually.

Workflow Optimization
Bottleneck Elimination
Root-Cause Analysis
Operations Management
Career History

Professional Experience & Teaching

Academic instruction, systems diagnostics, and engineering research.

Graduate Teaching Assistant (STAT 201)

University of Tennessee — Haslam College of Business
AUG 2026 - Present
Knoxville, TN

Serving as a Graduate Teaching Assistant for STAT 207 (Honors Introduction to Statistics / Business Analytics) within the Department of Business Analytics and Statistics. Facilitating statistical instruction, mentoring undergraduate students in quantitative problem-solving, and reinforcing core business analytics principles.

STAT 207
Statistical Analysis
Business Analytics
Instruction
Quantitative Modeling

Advanced Repair Agent

Best Buy
Aug 2021 – June 2026
Knoxville, TN

Interpreted diagnostic logs, system performance metrics, and hardware telemetry for 3,000+ clients annually. Performed root-cause analysis on hardware and software failures while maintaining compliance with strict data privacy standards. Reduced average repair ticket turnaround time by 60% (from 4.0 to 1.6 days) by identifying bottlenecks and optimizing diagnostic workflows.

Diagnostic Telemetry
Root-Cause Analysis
Workflow Optimization
Systems Diagnostics

Volunteer TechSmart Instructor

Knoxville-Knox County CAC
Aug 2024 – Dec 2025
Knoxville, TN

Delivered digital literacy and digital security instruction to over 60 adult learners. Taught practical concepts including secure personal data management, multi-factor account authentication, and fraud prevention practices.

Technical Instruction
Data Privacy
Digital Literacy
Community
June 2018 – Aug 2018
Tullahoma, TN

Collaborated with a multidisciplinary research team evaluating additive manufacturing constraints using experimental test data. Conducted comparative analysis of flow plate geometries (evaluating pressure drop, current density, and mass transport efficiency) and validated experimental datasets across prototype iterations.

Additive Manufacturing
Fluid Mechanics
Data Analysis
MATLAB
Academic Degrees

University of Tennessee

Graduate and undergraduate engineering & analytics degrees.

In Progress

Master of Science in Business Analytics and Artificial Intelligence

University of Tennessee — Haslam College of Business

Expected May 2027

Knoxville, TN

Rigorous graduate curriculum focused on machine learning, predictive modeling, data pipelines, business intelligence, and quantitative decision systems.

Business Analytics
Artificial Intelligence
Python
SQL
Predictive Modeling
Completed

Bachelor of Science in Aerospace Engineering

University of Tennessee — Tickle College of Engineering

Graduated Dec 2021

Knoxville, TN

Comprehensive engineering foundation in aerodynamics, thermodynamics, numerical simulation methods, SOLIDWORKS CAD modeling, and computational problem solving.

Aerospace Engineering
SOLIDWORKS
MATLAB
Fluid Dynamics
Numerical Methods
Get In Touch

Let's Connect & Collaborate

Whether you would like to discuss business analytics & AI, explore full-stack development, or connect professionally, my inbox is always open.