Md. Kamrul Hasan

Data Platform Lead at Oetker Digital

Md. Kamrul Hasan has a diverse work experience spanning from 2017 to 2022. In 2017, they were a student research assistant at both Freie Universität Berlin and DAI-Labor. In 2018, they were a student research assistant at Freie Universität Berlin, and in 2019 they worked as a Data Engineer at Vilua. In 2021, they worked as a Data Scientist/Engineer at Takeda, and as a Data Engineer at Berlin Brands Group. Finally, in 2022 they are currently working as a Data Engineer at Oetker Digital GmbH and Invincible Brands. At Oetker Digital GmbH, they are responsible for deploying and maintaining data projects with GCP stack, Terraform, CI/CD with Jenkins, and building and maintaining the DataOps & MLOps platform. At Takeda, they were responsible for building ETL pipelines for machine generated data, creating data processing pipelines, and implementing ML/DL algorithms. At Berlin Brands Group, they were responsible for building ETL for Google Analytics API, Amazon MWS, and Advertising API, TikTok, Insta API, and BBG Web Shops. At Vilua, they were responsible for researching and developing metrics for the medical machine learning domain, developing graph-based AI/ML applications, and maintaining existing projects.

Md. Kamrul Hasan has an extensive educational background. Md. Kamrul began their studies in 2001, earning their Secondary School Certificate from Sher-e-Bangla Nagar Govt. Boys High School in 2008. Md. Kamrul then earned their Higher Secondary School Certificate from Mohammadpur Model College in 2010. In 2011, they earned their Bachelor's Degree in Computer Science from BRAC University. Finally, in 2016, they earned their Master's Degree in Computer Science from Technische Universität Berlin. Additionally, they have obtained several certifications from institutions such as Udemy, Astronomer, Coursera, Bdjobs.com Limited, and Databricks.

Links

Previous companies

Berlin Brands Group logo
Invincible Brands logo

Timeline

  • Data Platform Lead

    October 1, 2023 - present

  • Data Engineer

    May, 2022