Faria Jahin

Recent Master's graduate in Electrical Engineering with expertise in statistical models, Python libraries, satellite image processing, satellite radiometric calibration, and machine learning models. Strong analytical and problem-solving skills, with experience in data analysis and modeling, as well as hands-on experience with sensors and imaging systems.

Graduate Research Assistant, South Dakota State University, August 2021 - July 2023

• Conducted advanced research in satellite image processing and radiometric calibration.
• Developed and implemented machine learning models for data analysis and image processing using Python, TensorFlow, and Scikit-learn.
• Collaborated on the design and testing of sensors and imaging systems, contributing to data preprocessing and model development.
• Led the production of radiative transfer models like ROLO for atmospheric aerosol property retrieval.

• Developed and executed statistical models for predictive maintenance of industrial equipment, employing regression analysis and machine learning techniques.
• Assisted in sensor design and testing for industrial applications.
• Analyzed data to provide actionable insights for process enhancement, utilizing statistical models.
• Devised machine learning models to optimize sensor data collection and processing.

MS in electrical Engineering and BSc in Mathematics