I am a seasoned data scientist with twelve years of hands-on experience in quantitative analysis. My career has been marked by the application of traditional statistical methods and machine learning techniques to a myriad of data types, including biological, environmental, and large-scale retail and telecommunication datasets. I have experience both with local and cloud-hosted analytics, and have contributed to the design and implementation of production pipelines of varying complexity. In leadership roles, I have acted as a scrum master and team lead, overseeing Agile ceremonies within the organization.I hold a PhD in Biological Science and Environmental Science from the University of Auckland, New Zealand. My research focused on the evaluation of various statistical landscape metrics, employing a range of modeling techniques from simple linear regressions to intricate machine learning models, often with spatial implementation.I am highly proficient in both computational tasks and statistical analysis. I possess strong communication skills in both written and verbal forms. I am a dedicated worker with a knack for problem-solving, always eager to embrace new learning opportunities and challenges.
Listed skills include Research, R, Science, Mathematical Modeling, and 3 others.
