Curriculum Vitae

Mikayla Norton

Senior Data Scientist, Growth Analytics & AI — Humana

Experience

Senior Data Scientist, Growth Analytics & AI · Humana
Sep 2025 – Present
  • Designed and deployed LLM-driven evaluation frameworks for sales-interaction analysis — automatically detecting behavioral signals, sentiment, and customer-need alignment to improve agent-performance insight at scale.
  • Led end-to-end analytics pipelines using distributed processing, lexical/semantic search, and topic modeling — embedding-based retrieval and model-validated classification linking sales behavior to call outcomes and operational KPIs.
Data Scientist, Supply Chain Enabling Solutions (Advanced Analytics) · Intel Corporation
Aug 2024 – Aug 2025
  • Built and maintained generative-AI, ETL, and ML systems across Intel divisions, advancing image analysis, financial reporting, and supply-chain data management.
  • Spearheaded "AI-Assisted Digital Twins for Supply Chain" with Arizona State University and Intel SMEs — integrating generative AI into supply-chain simulation to optimize procurement and IT investment. Published at WinterSim 2025.
Data Scientist, Supply Chain Enabling Solutions · Intel Corporation
May 2023 – Dec 2023
  • Project owner for change-order validation: Python (pandas, numpy, pylightxl) pipeline across 1,000+ contracts, surfacing invalid data for a 10% return on spending (~$12M in recovered construction funding).
  • Designed an AnyLogic + Python policy simulation for spare parts and materials — reorder points, order quantities, and safety stock — cutting inventory costs ~15%.
Global Reverse Logistics Intern, Systems & Analytics · Intel Corporation
May 2022 – Aug 2022
  • Managed 1,000+ order IDs for backorder returns and substitutions within Customer Fulfillment, Planning & Logistics; built the business case to merge Return-for-Credit and Return-for-Exchange transit lines.
  • Delivered analytics with Excel/Power BI (frontend), SQL (backend), and Salesforce/RPM data warehousing.
Supply Chain Analytics Intern, Demand Planning · PPG Industries
May 2021 – Mar 2022
  • MAPE/WMAPE forecasting, inventory and OTIF reporting, and cluster/group forecasting for the Powder SBU — PDM across 100,000+ SKUs internationally, plus historic-sales master-data cleansing.
  • Tooling: Oracle Business Intelligence, Excel, Power BI, and Demantra across five plant locations.
Operations Project Lead · Konica Minolta
Summers 2019 & 2020
  • Led teams of 10–20 provisioning 200,000+ devices per season; optimized workflow with Six Sigma, Lean, and DMAIC, and trained new team leads.

Teaching

Graduate Teaching Assistant, Applied Engineering Sciences · MSU
Jan 2024 – May 2024
  • Mentored 7–8 teams through the AESC 410 capstone and helped deliver the April "Design Day" presentations.
Graduate Teaching Assistant, Statistics · MSU
Aug 2023 – Dec 2023
  • Instructed ~70 students in STT 380, a data-science-focused probability & statistics course applied in R, with twice-weekly sessions and office hours.

Research & Projects

Selected graduate and undergraduate work. Live demos at mikaylanorton.com.

SignVision AI — computer vision + adversarial ML for ASLCMSE 890 · 2024Deep-learning ASL model (93.6% baseline); FGSM adversarial simulations lifting robustness to 97%; functional web app.
Graph-Based ML for Node Classification (GCN & GAT)CSE 881 · 2024Graph Convolutional & Attention Networks reaching 85.3% node-classification accuracy; PCA-based preprocessing.
NeuroNet AI — tumor detection from MRICMSE 830 · 2023CNN classifying 400+ brain-MRI scans into four tumor types at 99.8% test accuracy (Keras, TensorFlow, OpenCV).
Brownfield Solar RedevelopmentSTT 890 · 2023With Michigan EGLE — a criteria-scoring dashboard (Pandas, Streamlit, Folium) prioritizing brownfield sites for solar.
GreenGrapher — emissions data visualizerCMSE 830 · 2023Interactive web app for global per-capita emissions by region and type (Plotly, Pandas, Streamlit).
ProxiFilm Picks — movie recommenderCSE 482 · 2023Personalized recommender blending user- and content-based algorithms (JavaScript, Python).
Movie Recommendation AlgorithmsCMSE 831 · 2023Compared KNN, collaborative filtering, SVD, matrix factorization & more across 20M records.
Credit Score Modeling & ClassificationSTT 811 · 2023EDA-to-model pipeline on 100K records — PCA, LDA, SVC, and tuned XGBoost (sklearn, keras).
Spotify Music Popularity PredictorSTT 810 · 2022Regression on 20K tracks in R to link audio features to popularity (ggplot, tidyverse).
Analysis of Voice & Hearing Lab (research assistant)MSU · 2019–2021Otoacoustic-emissions research; MATLAB ML for analysis; findings presented at ASA 2020.

Publications

Chotaliya, S., Fowler, J., Pedrielli, G., Bayba, D., Norton, M., Sain, P., & Yu, K. (2025). A Foundational Framework for Generative Simulation Models: Pathway to Generative Digital Twins for Supply Chain. Proceedings of the 2025 Winter Simulation Conference, Seattle, WA, pp. 1700–1711. doi:10.1109/WSC68292.2025.11339118
Scheidler, S., Norton, M., & Naghibolhosseini, M. (2020). The effect of level-ratio paradigm on DPOAE fine structure. The Journal of the Acoustical Society of America.

Selected Presentations

SignVision AI — a computer-vision approach to visual translation and its risksThesis · 2024CMSE Master's Thesis Presentations, East Lansing, MI.
Optimizing for Brownfield Solar Redevelopment (poster)Capstone · 2023MSDS Inaugural Semiannual Capstone Conference, East Lansing, MI.
Commencement remarks — celebrating daily achievements & impactKeynote · 2023MSU College of Engineering Baccalaureate Commencement.
The Difficulty of PositivityKeynote · 2017TEDxHowellHighSchool, Howell, MI.

Skills & Certifications

Programming
Python · R / RStudio · MATLAB · C++ · Kotlin · AnyLogic · HTML/CSS
Libraries
NumPy · SymPy · Pandas · Matplotlib · Plotly · Scikit-learn · SciPy · TensorFlow · PyTorch · Seaborn
Data & Visualization
SQL (SQLite, MySQL, SQLdf) · Power BI · Tableau · Excel · Power Query
  • Career Essentials in Data Analysis — Microsoft & LinkedIn
  • AnyLogic Training Course
  • HackerRank SQL (Basic)
  • Six Sigma Green Belt (SSGBC™)
  • PM Lean Process Certified (PM-LPC™)
  • Executive Management Certified (EMC™)

Education

M.S., Data Science · Michigan State University
Aug 2022 – May 2024
  • College of Natural Science · GPA 4.00
B.S., Applied Engineering Sciences · Michigan State University
Aug 2019 – May 2023
  • College of Engineering, Honors College · GPA 3.83
  • Supply Chain Management concentration; minors in Computational Mathematics, Science & Engineering (CMSE) and Business.
Select Coursework
Advanced / Adversarial Machine Learning · Computational Data Science · Data Mining & Big Data Analysis · Statistics, Probability & Linear Algebra

Leadership & Community

Marketing Lead — SpartaHack 92023–24Ran marketing, brand, and outreach for MSU's largest hackathon (Canva, Figma, campus recruiting).
President — Leadership Advantage for Engineers2020–23Directed a four-day leadership seminar for incoming engineers and its upperclassman mentors.
Director of Public Relations — Society of Applied Engineering Sciences2021–23Built a new content brand to grow engagement through web and social.
Director of Membership — Women in STEM2021–23Programming and networking to empower undergraduate women in STEM.
Mentor — Women in Engineering Student Success2021–23Mentored first-year women engineers through their first-year journey.
Graduate Advisor — Girls Who Code & Technovation2022–23Led K-12 cohorts (incl. Belize, Turkey, Ghana), +30% participant proficiency.
President — Society for Engineering Management2020–22Company-sponsored projects and a guest-speaker education series.
Graduate Women in Science (GWIS) Lesbians Who Tech Society of Women Engineers (SWE)

Honors & Awards