End-to-end Python analytics, business intelligence dashboards, and data automation that turns your operations into a competitive edge.
Full-stack data solutions powered by Python — from live dashboards to automated pipelines that keep your business running ahead.
Live business operations dashboards built with Python — tracking KPIs, resource allocation, and workflow efficiency in real time.
Clear visual storytelling for operational data — bottlenecks, throughput, and cycle time analysis using Matplotlib, Seaborn, and Plotly.
End-to-end data pipelines that extract, transform, and load operational data across SQL, NoSQL, APIs, and cloud warehouses automatically.
Machine learning models that forecast demand, optimize inventory, and detect operational anomalies before they impact your bottom line.
Auto-generated executive reports with trend analysis, variance breakdowns, and strategic recommendations delivered on schedule.
Tailored Python applications — API connectors, data aggregators, and intelligent workflow bots built specifically for your stack.
A selection of data-driven projects delivered by Mireya — each built to solve real operational challenges.
Real-time fleet tracking dashboard monitoring 200+ vehicles, delivery ETAs, fuel efficiency, and driver performance using Dash and Plotly.
Interactive process flow mapping for a manufacturing plant — tracking workstation throughput, defect rates, and bottleneck identification using NetworkX and Bokeh.
Geospatial warehouse optimization with real-time stock levels, pick-path efficiency, and zone utilization using Folium and GeoPandas.
Seasonal demand prediction for an e-commerce retailer with 93.4% accuracy — optimizing stock levels and reducing overstock by 28% using XGBoost and Prophet.
Auto-generated quarterly board packs with financial KPIs, variance analysis, and strategic recommendations delivered to 12 board members every quarter.
Real-time bidirectional sync between Salesforce CRM and SAP ERP — handling 14,000+ daily record updates with conflict resolution and audit logging.
Mireya Coatney is a Python developer and operations analyst who builds data systems that actually get used. With a background spanning logistics, retail, and finance, she brings domain expertise that turns raw data into decisions people trust.
Every dashboard, pipeline, and forecast is built with one goal: make your operations run smoother tomorrow than they did today.
Have a project in mind? Request a free consultation and quote — no strings attached.