Senior Energy Researcher, Data Science

• •Partnered with product-like internal platforms and stakeholders to define analytics objectives, translating ambiguous business questions into measurable KPIs and analytical roadmaps.
• •Designed and deployed statistical and machine-learning models to analyze user behavior, system usage patterns, and performance drivers across large, multi-regional datasets.
• •Built predictive and scenario-based models to forecast adoption, utilization, and long-term impact of data-driven programs.
• •Led experiment-driven evaluations to quantify the effectiveness of new features, workflows, and decision frameworks.
• •Delivered executive-ready insights, dashboards, and narratives, influencing strategic investment, prioritization, and roadmap decisions.
• •Mentored analysts and data scientists on analytics rigor, experimental thinking, and stakeholder communication.
• Technologies: Python, R, AWS (Athena, Glue, S3, Redshift), Pandas, NumPy, PySpark, TensorFlow, PyTorch, Docker, SQL, XML/JSON, GeoJSON, EnergyPlus, Tableau, PostgreSQL.

Head of Data & AI (Part time)

• •Act as embedded Data Scientist within executive and product leadership, guiding analytics strategy for platform adoption and operational performance.
• •Translate business goals into data-driven engagement metrics, performance dashboards, and prioritization frameworks.
• •Develop analytics tooling and KPIs used to evaluate customer behavior, product performance, and ROI.
• •Communicate complex analytical findings to non-technical stakeholders, enabling faster, evidence-based decisions.
• Technologies: Python, PHP, GPT Family, OLlama, LLM Workflows, Cursor, Claude Code, SQL, GCP, Snowflake, MySQL

Geospatial Data Scientist (Consultant)

• •Analyzed large-scale datasets to support strategic investment and policy decisions, similar to enterprise SaaS decision contexts.
• •Applied quantitative modeling and financial analysis to evaluate trade-offs, adoption risks, and outcome effectiveness.
• •Presented insights to senior government officials and international stakeholders, translating analytics into action.
• Technologies: Python, R, ArcGIS, QGIS, Remote Sensing, AWS

Researcher/Analytics Lead

• •Built analytics platforms and decision-support tools, integrating data pipelines, statistical models, and simulations.
• •Developed an integrated forecasting model to forecast real estate market prices in response to flood events.
• •Improved system performance and resource allocation through data-driven experimentation and optimization.
• •Worked directly with stakeholders to ensure analytics outputs matched real-world usage and decision workflows.
• Technologies: Python, R, Java, NetLogo, ArcGIS, QGIS, EnergyPlus, XML, GeoJSON, AWS, GCP, PostgreSQL, MySQL

Software Engineer, Corporate R&D

• •Applied data analysis and optimization techniques to improve manufacturing efficiency, quality, and cost performance.
• •Supported leadership with data-driven insights on process improvements and operational trade-offs.
• •Developed a control system on oil drilling software systems to implement drilling assets lifecycle.
• Technologies: Java, C++, Ubuntu Linux, JavaScript, PHP, HTML/CSS, MySQL, MS SQL Server

M.S. Computer Science (Machine Learning)

Ph.D. Public Policy

M.S. Engineering

B.A. Computer Science & Economics