Paul Stott

Paul Stott is a highly skilled professional with a background in software engineering, data science, and machine learning.

After gaining valuable industry experience, Paul pursued a Master's degree in Information Management and Systems, specializing in Data Science, Natural Language Processing (NLP), and Machine Learning (ML) at UC Berkeley.

Paul's expertise includes a wide range of programming languages and tools such as C/C++, Python, Java, HTML/CSS/JS, TensorFlow, R, SQL, Keras, jQuery, Tableau, AWS, MATLAB, Hadoop, Spark, and Azure.

With a Bachelor's degree in Psychology and English Language and Literature, Paul has a multidisciplinary academic background that complements his technical skills.

Paul has held key roles at prestigious organizations including Senior Data Scientist at IBM, Data Engineer at Facebook, Software Engineer at Creator, and Graduate Student Instructor at UC Berkeley School of Information.

Additionally, Paul has contributed his talents as a Software Engineer at Fishbowl, Quality Assurance Engineer at Sling TV, Data Analyst at CHG Healthcare Services, and Technical Support Advisor at Apple.

Passionate about leveraging data and machine learning for innovative problem-solving, Paul is actively seeking opportunities to apply his expertise in developing creative solutions.