being slightly less negligent

This commit is contained in:
2026-09-05 23:50:36 -05:00
parent 8353ecc38c
commit bbbf9795bc
3 changed files with 3 additions and 3 deletions

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@@ -38,7 +38,7 @@
"ecolab": {
"title": "Data Scientist / Data Engineer — Ecolab",
"date": "January 2024 Present",
"content": "<p class=\"timeitem-org\">Ecolab · Saint Paul, MN</p><ul><li>Primary model developer of RushReady from inception through multimillion-dollar product commercialization</li><li>Engineered near-real-time data platform with Delta Live Tables and automated MLOps lifecycle across QSR brands</li><li>Built explainable anomaly detection with XGBoost/SHAP attribution and brand-configurable recommendations, increasing speed of service by 20%</li><li>Represented Ecolab as liaison in Microsoft's 100-member AI accelerator program</li></ul>",
"content": "<p class=\"timeitem-org\">Ecolab · Saint Paul, MN</p><ul><li>Primary model developer of RushReady from inception through multimillion-dollar product commercialization</li><li>Engineered near-real-time data platform with Delta Live Tables and automated MLOps lifecycle across QSR brands</li><li>Built explainable anomaly detection and brand-configurable recommendations, increasing speed of service by 20%</li><li>Represented Ecolab as liaison in Microsoft's 100-member AI accelerator program</li></ul>",
"classes": "experience"
},
"rit_ms": {

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@@ -2,7 +2,7 @@
"Data Scientist @ Ecolab": {
"classes": "pinned experience technical",
"date": "01/2024 - Present",
"content": "Primary model developer of RushReady from inception through multimillion-dollar product commercialization. Engineered near-real-time data platform with Delta Live Tables and automated MLOps lifecycle. Built explainable anomaly detection with XGBoost/SHAP attribution, increasing speed of service by 20%. Represented Ecolab in Microsoft's 100-member AI accelerator program."
"content": "Primary model developer of RushReady from inception through multimillion-dollar product commercialization. Engineered near-real-time data platform with Delta Live Tables and automated MLOps lifecycle. Built explainable anomaly detection, increasing speed of service by 20%. Represented Ecolab in Microsoft's 100-member AI accelerator program."
},
"Data Scientist / Data Engineer": {
"classes": "pinned experience technical",

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@@ -28,7 +28,7 @@
<dt>At work</dt>
<dd>
Primary model developer on RushReady at Ecolab: explainable anomaly
detection with XGBoost and SHAP, plus brand-configurable recommendations
detection, plus brand-configurable recommendations
for quick-service restaurants, all running on a near-real-time Delta
Live Tables platform.
</dd>