Winson Lam, Ph.D. has a diverse work experience in the field of data science and research. Winson currently holds the position of Senior Data Scientist at Precise TV, where they assumed the role in February 2022. Prior to this, they worked as a Lead Data Scientist at Precise TV from January 2020 to December 2021.
Before joining Precise TV, Winson worked at Altius as a Data Scientist from April 2019 to November 2019. In this role, they conceptualized hand gesture recognition in an AI Bar environment and conducted research on multiple approaches via computer vision. Winson also analyzed user behavior on the webapp, which provides price recommendations for cargo shipments.
From July 2017 to April 2019, Winson was a Data Scientist at Black Swan Data. Winson delivered insights from data using statistical inference to support internal teams' client reporting. Their work involved utilizing NLP techniques.
Prior to that, they worked as a Data Scientist at Capgemini from July 2016 to July 2017. In this role, they developed web scrapers to collect product reviews and conducted sentiment analysis on social media data. Winson also collaborated with Dataiku to build in-house tools for junior/mid-level data analysts.
From February 2012 to February 2016, Winson worked as a Research Scientist at Dstl. Winson led a research project on developing light-weight photovoltaic technology. Their work involved investigating novel semiconductor materials, developing device processing protocols, and establishing research collaborations.
Winson also gained experience as a Reliability Engineer at Huawei Technologies from June 2015 to October 2015. Winson contributed to the establishment of reliable modulated lasers in fiber-optic telecommunication systems. Winson led an exploration project in automating derivative analysis of laser chip's electrical/optical output signals.
Overall, Winson Lam, Ph.D. has a strong background in data science, research, and technology development, with a focus on statistical analysis, computer vision, NLP, and semiconductor materials.
Winson Lam, Ph.D. has a strong educational background with a focus on technology and science. Winson completed their Doctor of Philosophy (Ph.D.) in Photovoltaic Technology at UCL from 2012 to 2016. Prior to that, they pursued a Master of Science (M.Sc) in Nanotechnology at UCL from 2010 to 2011, specializing in Electrical and Electronics Engineering.
Before their master's degree, Winson completed their Bachelor of Science (B.Sc) in Biomedical Science at UCL from 2007 to 2010, with a focus on Neuroscience, Physiology, and Pharmacology.
Their initial academic journey began at East Norfolk Sixth Form College, where they completed A levels in Maths (A), Physics (A), Biology (B), and Chemistry (B) from 2005 to 2007.
Apart from their formal education, Winson Lam has also obtained several certifications to enhance their skills in the field. Winson completed the AI for Medicine course from Coursera in January 2022. In February 2021, they completed the Natural Language Processing Specialization course from Coursera. In July 2019, they undertook the Deep Learning Specialization course from Coursera. Additionally, they completed the Machine Learning course from Coursera in October 2018. Winson also acquired certifications in Big Data Foundations, Big Data Hadoop Foundations, and Big Data Spark Foundations from IBM in May 2016.
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