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I'm a data scientist with 15+ years building predictive models, analyzing large datasets, and delivering actionable insights. I specialize in Python and SQL, with experience across data pipelines, time-series analysis, optimization, visualization (Dash/Plotly), and AWS. I’m a clear communicator who partners with engineering, software, and business stakeholders to translate complex questions into measurable results. I design robust data pipelines, surface early-warning indicators via anomaly detection and time-series analysis, and build dashboards to support data-driven decisions.…I'm a data scientist with 15+ years building predictive models, analyzing large datasets, and delivering actionable insights. I specialize in Python and SQL, with experience across data pipelines, time-series analysis, optimization, visualization (Dash/Plotly), and AWS. I’m a clear communicator who partners with engineering, software, and business stakeholders to translate complex questions into measurable results. I design robust data pipelines, surface early-warning indicators via anomaly detection and time-series analysis, and build dashboards to support data-driven decisions.

Kevin P. Mooney, Ph.D.

Data Scientist, Web Developer, Full Stack Developer, +2

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I'm a data scientist with 15+ years building predictive models, analyzing large datasets, and delivering actionable insights. I specialize in Python and SQL, with experience across data pipelines, time-series analysis, optimization, visualization (Dash/Plotly), and AWS. I’m a clear communicator who partners with engineering, software, and business stakeholders to translate complex questions into measurable results. I design robust data pipelines, surface early-warning indicators via anomaly detection and time-series analysis, and build dashboards to support data-driven decisions.…I'm a data scientist with 15+ years building predictive models, analyzing large datasets, and delivering actionable insights. I specialize in Python and SQL, with experience across data pipelines, time-series analysis, optimization, visualization (Dash/Plotly), and AWS. I’m a clear communicator who partners with engineering, software, and business stakeholders to translate complex questions into measurable results. I design robust data pipelines, surface early-warning indicators via anomaly detection and time-series analysis, and build dashboards to support data-driven decisions.

Available to hire

I’m a data scientist with 15+ years building predictive models, analyzing large datasets, and delivering actionable insights. I specialize in Python and SQL, with experience across data pipelines, time-series analysis, optimization, visualization (Dash/Plotly), and AWS.

I’m a clear communicator who partners with engineering, software, and business stakeholders to translate complex questions into measurable results. I design robust data pipelines, surface early-warning indicators via anomaly detection and time-series analysis, and build dashboards to support data-driven decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Lead Project Engineer at Enersys Advanced Systems

January 1, 2010 - January 1, 2025

Translated large volumes of test and telemetry data into predictive models for performance and lifecycle forecasting (regression/classification with scikit-learn). Built Python data pipelines to ingest, clean, and transform diverse datasets; produced analysis-ready tables and features for modeling. Created interactive Dash/Plotly dashboards to monitor KPIs, visualize trends, and support cross-functional decision-making. Designed Monte Carlo simulations and genetic-algorithm optimizers for parameter estimation and risk analysis. Implemented time-series anomaly detection to surface early warning indicators and improve system reliability. Partnered with engineering, software, and business stakeholders; presented findings and recommended actions.

Postdoctoral Fellow at Jet Propulsion Laboratory/California Institute of Technology

January 1, 2007 - December 31, 2009

Developed Python-based data acquisition & analysis tools and collaborated on scientific instrumentation and experiments. Designed and constructed a thermosiphon apparatus to study heat transfer in magnetically levitated water; authored analysis workflows.

Research Assistant at SUNY University at Buffalo

January 1, 1997 - December 31, 2006

Built acquisition/analysis pipelines for condensed-matter experiments (e.g., specific heat and SQUID magnetometry); managed instrumentation facility operations.