• Assessing prospect sites for new wind energy projects utilizing GIS products, Excel, Windographer, and Openwind: establishing and monitoring meteorological campaigns, handling data quality control and statistical analyses, reviewing wind climatology, designing and optimizing layouts, reporting energy production estimates.• Evaluating remote sensing devices' performances executing verification and co-location studies between met masts, SODAR, and LIDAR to identify biases and derive the best value from wind measurement campaigns. • Collaborating on hybrid project concepts with the solar energy team.

• Performed wind resource modeling, coupling numerical weather prediction and on-site meteorological data, to produce bankable reports for utility-scale wind farms in Europe, India, and the United States.• Reviewed third-parties’ technical due diligence reports on aspects such as wind resource, net energy analysis, uncertainties, and financial risks.• Supported customer care services pertaining to the company's wind & solar prospecting and time series tools.• Troubleshot occasional clients’ LIDAR data issues determining adherence to best-practices and back-tracking performance to physical or on-site issues in such occurrences.• Provided energy budget outlook containing monthly long-term expected generation and probabilities of exceedance (P10, P50, P90), comparison of pre-construction estimates with actual production, and twelve-month ahead forecast generation to operational renewable plants.• Coordinated content creation initiatives to promote Vaisala's energy assessment methods and products; worked closely with managers and served as a bridge between the technical, marketing, and communication teams.

• Participated in international research collaborations integrating wind resource assessment, wake effect studies, prognostics and health management of wind turbines. Authored and co-authored conference papers.• Employed wind engineering models (TurbSim, FAST, and FLORIS), stochastic modeling and uncertainty quantification methods to investigate wake effect under random inflow conditions.

• Deployed and monitored 5 remote sensing equipment (LIDAR) for a full-scale field experiment at the Sandia National Laboratories Scaled Wind Farm Technology (SWiFT) facility.• Performed analysis of 9 months of data from a wind turbine, meteorological tower, and the 5 LIDAR to investigate the behavior of wind turbine wakes. • Prepared written reports and presentations for both internal and external stakeholders.

Conducted recuperation and systematization of algorithms for wind asset management.

Provided support to 35 undergraduate students in each of the following classes: Introduction to Wind Energy, and Renewable Energy & the Environment.

• Investigated the techno-economic and environmental feasibility of 6 alternatives for sugarcane residues in Brazil using Life Cycle Assessment, uncertainty and sensitivity analyses (Monte Carlo) methodologies.• Gathered data, both qualitative and quantitative, on biomass technology trends, drivers, and pricing.• Co-authored paper, reports, and project proposal with senior guidance.

• Provided support for the renewable energy modeling team inspecting historical renewable energy resource of ground and satellite data (from 1999 to 2010)• Delivered data quality control and statistical analysis, and geographic information products