The D.C. Metro Needs to Actively Track Risks
AWS Analytics tools don’t cut it — management needs to know what’s happening at a moment’s glance. PowerPoint attachments are obsolete and non-interactive.
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Leveraged BERT model to classify sentiment data.
Used ArcGIS to architect Emerging Hotspot detector.
Ran it on a multivariable linear regression model to assess predictability per hotspot.
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Over 10,000 new mitigations developed.
Analyzed over 6 years of data, classifying nearly 5 million work orders and incidents.
Analytics software predicts a risk 4x faster with 90% accuracy on root cause analysis.
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Managed under WSP name.
Ali served as a product manager for analytics & training SOP work.
NLP, Machine Learning, Data Analysis, Software, API, AWS, Maximo, PowerBi.
Multi-funnel strategy to achieve program alignment across Washington Metropolitan Area Transportation Agency (WMATA).
Custom Analytics Solutions