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Basic Data Science Intern
Netzwerk Academy•  October 2021 - Present
• Engaged statistical techniques to examine data and create valuable business reports • Effectively communicated company insights by utilizing data visualization technologies trends or patterns in complex data sets were analysed and interpreted • Practiced supervised and unsupervised learning techniques to investigate trends in complex data sets. Using Flask and Stream-lit, I prepared a tiny web application for datasets • Applied modelling and analytics on how business actions affected the bottom line. • Raw data were transformed to correspond to the assumptions of the machine learning algorithm • Executed scalable data extraction and analysis solutions.
Education
C.A.H.C.E.T
Mechanical Engineering, BE•  June 2014 - May 2018
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