Track Record
Systems built and shipped in enterprise production environments before Silver Eagle IT was founded.
Who You're Working With
Silver Eagle IT was founded by Kenneth M. Mills, who has been building for the web since 2000 — and who spent thirteen of the last fourteen years building production data systems inside large organisations before starting a practice in Booneville.
That combination is the point: a quarter century of hands-on web and application development, layered with enterprise-scale analytics and machine learning. Most consultancies have one or the other.
Most recently a Data Scientist at Ingersoll Rand, that work included a customer churn model that flagged at-risk accounts six or more months ahead at 85%+ accuracy on the at-risk class, a SARIMA-based parts forecasting system with part-level tuning, and an NLP commodity classification pipeline trained on 8.5 million records — processing datasets of billions of rows in Snowflake.
Before that, seven years at Ahold Delhaize supporting a $50B+ retail enterprise across 1,100+ locations: architecting the organisation's first predictive analytics solution for Asset Protection, and serving as application lead for an exception-based reporting platform handling roughly two million transactions daily for over 4,000 users. A later role owned a Master Data Management deployment covering 400,000+ product items.
That is an unusual background for a local IT consultancy — and it is the reason the work here extends past support tickets into custom software, machine learning, forecasting, and automation that removes manual effort outright.
Education
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M.S., Data ScienceLewis University, 2018
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B.S., Information TechnologyWestern Governors University, 2015
Certifications
- CompTIA A+
- CompTIA Security+
- CompTIA Network+
- CompTIA Project+
- Microsoft Certified Professional
Industries Served
Current and past engagements span a deliberately broad range — the underlying problems repeat.
Common Questions
What prospective clients ask most often.
Yes. Work includes LLM-based classification pipelines with statistical validation layers, document chatbots, and LLM integration into custom applications. A hybrid AI/ML classifier built for multilingual survey data improved categorisation accuracy from roughly 60% with a raw LLM to over 90% after adding a post-processing validation layer.
That is a common engagement. Spreadsheet-based processes get rebuilt as custom Laravel applications with proper validation, user accounts, audit trails, and reporting — so the process survives staff turnover and stops depending on one person's workbook.
Yes. Past automation work includes a Python pipeline that validated and reconciled 4,000+ vendor records, eliminating more than 1,100 hours of manual data entry, and an NLP classification pipeline trained on 8.5 million records that removed a recurring manual review backlog.
Yes — including executive dashboards in Tableau and Qlik, Streamlit applications, and custom reporting built directly into your own software. Prior enterprise work included an exception-based reporting platform serving 4,000+ users.
Python (NumPy, Pandas, scikit-learn), SQL, Snowflake, PHP/Laravel, Tableau, Qlik, and Streamlit. Modelling covers classification, regression, ensemble methods, time-series forecasting (SARIMA), anomaly detection, and NLP.
Yes. Much of the work is integration rather than replacement — connecting to databases you already run, reconciling records across disparate sources, and adding capability without forcing a rebuild.
Silver Eagle IT is based in Booneville and serves clients across Arkansas and remotely nationwide. Current engagements span insurance, oil and gas, agriculture, entertainment, digital media, and nonprofit sectors.
Monthly plans include a set number of hours. Unused hours roll into a banked balance rather than expiring, and banked time is consumed before you are ever billed for overage. Time tracking is transparent and visible in your client portal.