Handi Chandra Putra

I am a Senior Energy Researcher, Data Science at Lawrence Berkeley National Laboratory in Berkeley, CA.

I partner with product-like internal platforms and stakeholders to define building technologies adoption and operation strategies through survey-based experiments. I develop and deploy features and updates on Scout software, an established U.S. DOE energy and emission calculation tool. I use the tools to build predictive and scenario-based models.

I am Head of Data & AI (Part time - Consultant) at Sanatel (Remote).

I act as embedded Data Scientist within executive and product leadership, guiding analytics strategy for platform adoption and operational performance. I translate business goals into data-driven engagement metrics, performance dashboards, and prioritization frameworks. I develop analytics tooling and KPIs used to evaluate customer behavior, product performance, and ROI. I communicate complex analytical findings to non-technical stakeholders, enabling faster, evidence-based decisions.

I was a Geospatial Data Scientist (Consultant) at the World Bank Group in Washington, DC.

I analyzed large-scale datasets to support strategic investment and policy decisions, similar to enterprise SaaS decision contexts. I applied quantitative modeling and financial analysis to evaluate trade-offs, adoption risks, and outcome effectiveness. I presented insights to senior government officials and international stakeholders, translating analytics into action.

I was a Researcher/Analytics Lead at the Center for Urban Policy Research at Rutgers University in New Brunswick, NJ.

I built analytics platforms and decision-support tools, integrating data pipelines, statistical models, and simulations. I developed an integrated forecasting model to forecast real estate market prices in response to flood events. I improved system performance and resource allocation through data-driven experimentation and optimization. I worked directly with stakeholders to ensure analytics outputs matched real-world usage and decision workflows.

I was a Software Engineer, Corporate R&D at National Oilwell Varco in Houston, TX.

I applied data analysis and optimization techniques to improve manufacturing efficiency, quality, and cost performance. I supported leadership with data-driven insights on process improvements and operational trade-offs. I developed a control system on oil drilling software systems to implement drilling assets lifecycle.

I was a Graduate Researcher/Analytics Consultant at Texas State University working on client projects with SEMATECH, University Operations, and the National Science Foundation.

I developed and implemented optimization algorithms for semiconductor wafer-fab manufacturing. I designed sensor-driven motion planning algorithms for manufacturing robotic arms. I built and validated an integer/operations-research based capacity planning model for three campus dining halls. I taught and mentored undergraduate researchers nationwide through NSF-supported programs.