Python and it's Frameworks
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Technical Project Manager | Data Scientist
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3+ years
Technical Project Manager
Artificial Intelligence Developer
B.Sc. in Computer Science
PG in Applied Artificial Intelligence
M.Sc. in Data Science
I am Shahin Afrouzeh, a seasoned Technical Project Manager with an academic background in Data Science and Artificial Intelligence Over the years, I've overseen transformative projects in the realms of data science and technology. At CoffeeRoots, I lead our tech initiatives revolved around industrial automation, data science, and analytics where i assist companies in adopting technology and moving to the cloud where data becomes their key driver to business decisions. My expertise has driven efficiency, sustainability, and innovation within any organization I work with, from creating data infrastructures to collaborative innovations like advanced computer vision systems or strategizing the optimum journey to a successful digital transformation.
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From experimentation to implementation of AI; Presenting & Sharing the sucess story of an SME transitioning through a digital transformation where i led them into harnassing AI for business decisions and insights. The audience consisted of 70+ managers and directors from major European companies hearing my advice on the Road to Data Maturity.
Sydney City Council (SCC) is an Australian government agency responsible for the operation of one of the city’s beaches. There have been a number of recent shark attacks at Australian beaches and SCC are keen to minimize risk to the public. They want to be able to predict whether a shark will appear at their beach. With this information, they will choose to close the beach or keep it open. While they do care about possible attacks, they also care about lost revenue to the local economy when the beach is closed. The data tells us if a shark appeared under certain conditions at a beach - under the column “shark”.
the successful implementation of a cloud-based dashboard using Power BI for coffeeRoots Cantata's Retail Stores, including 8 physical stores in Belgium and Luxembourg as well as their online shop.
AI models, trained through machine learning, can detect faults in coffee pods. This innovation has not only significantly reduced production faults and losses but has also brought transparency to the supply chain of a coffee factory
"Click the button below to watch the YouTube video where, starting from the 2:54-minute mark, I discuss how AI and data are advancing the company towards becoming a data-driven manufacturing plant. This transformation paves the way for the adoption of new technologies, ultimately leading to automation and more."
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