Lidia Huaman
Universidad Nacional Agraria La Molina, Bachelor's Degree and Engineering Degree in Meteorology; Texas A&M University, Master's Degree and PhD in Atmospheric Sciences and Meteorology
Ph.D. in atmospheric sciences with 8+ years of experience analyzing and interpreting large weather and climate datasets to develop successful solutions. Integrated multiple historical weather datasets to successfully create the most complete and accurate AccuWeather historical data globally (~3TB). Implemented new and efficient techniques to calculate derived weather parameters using SQL, PySpark and Python in Databricks. Performed successful quality control of the AccuWeather historical weather data and computed confidence reliability scores using a novel statistical approach