Yasin Açıkmeşe

Yasin Açıkmeşe has a diverse work experience spanning from 2012 to present. Yasin has worked in various roles and companies, showcasing their expertise in data science, machine learning, and consultancy.

Starting in 2012, Yasin worked as an intern at Arete Consulting. Yasin then transitioned into the role of a management trainee at Akbank in 2014, where they focused on improving customer experience.

In 2015, Yasin joined GoLive Consulting as an SAP SD Consultant, responsible for generating functional and technical documentation and implementing solutions for clients.

From 2017 to 2018, Yasin served as a Research and Development Engineer at Inovatink, where they worked on data science and machine learning projects utilizing wearable data.

In 2018, Yasin joined Tekkredi as a Data Scientist, specializing in credit risk prediction and default rate analysis using consumer data.

Since 2019, Yasin has been working at Firefly, initially as a Data Scientist and later promoted to the position of Senior Data Scientist. Here, they utilize their expertise in data science to develop insights and solutions for the company's operations.

Additionally, Yasin has also been a research collaborator at WECooP.io since 2017, where they conduct research in the field of data science and machine learning applications to wearable systems.

Overall, Yasin Açıkmeşe's work experience demonstrates a strong background in data science, machine learning, and consultancy, making him a valuable asset in any organization.

Yasin Açıkmeşe completed their Master's Degree in Logistics and Financial Management at Galatasaray Üniversitesi from 2016 to 2019. Prior to that, they obtained a Bachelor's Degree in Industrial Engineering from Sabanci University, where they studied from 2008 to 2013. In addition to their formal education, Yasin has obtained several certifications including ISO 9001:2008 Quality Management System Awareness & Internal Auditor from Bureau Veritas in May 2014. Yasin has also completed various online courses on topics such as Deep Neural Networks, Python programming, and Machine Learning through Coursera, though specific dates for these certifications are not provided.