Nauman Jalil

About Me

With over 10 years of experience in academic and research organizations, I have an excellent combination of skills in Computer Vision, Machine Learning/Deep Learning using convolutional neural networks (CNN), image processing, advance mathematics, linear algebra, optimization techniques, and much more. As a Data Scientist at Colaberry. l leverage my expertise in Image Processing. Specifically, I am responsible for creating novel scientific and/or business insights and knowledge across R&D phases and technologies, building and curating geospatial data sets, integrating remote sensing and field trial measurements, building models to predict crop traits from remote sensing data utilizing image processing techniques using machine learning/deep learning, finding spatial dependency in crop protection field trial data, quickly assessing the feasibility of applying remote sensing to replace human assessments in the field, directed and/or independent research to test scientific hypotheses, working in close collaboration with scientists to identify opportunities for state-of-the-art integrative data science projects, writing robust and well-documented research code, and engaging with diverse research groups to understand their models and products and develop solutions to meet their data needs. You'll find me an enthusiastic, highly determined, and reliable person. I have dedicated my career to helping research and development organizations solve complex engineering/computing problems and optimize their IT resources so that scientific organizations can focus on projects that have the potential to do community service and produce profits. My research interests center on Remote Sensing, Computer Vision, Machine Learning/Deep Learning and Artificial Intelligence.

Education

Past Employer