Mahsa Nasab
PHD Student at Utrecht University
Utrecht, Utrecht, Netherlands
Summary
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Top SchoolMahsa Nasab is a data engineer and PhD candidate based in Utrecht with eight years of experience building big data solutions for banking, insurance, and telecom. She has designed and deployed production data lakes and ingestion layers using Hadoop ecosystems (Cloudera/Hortonworks), Kafka (Java), Airflow, Spark (PySpark), Sqoop and HDFS to deliver clean batch and streaming data for customer analytics. Her work bridges research and practice: in academia she pursues data-intensive systems while applying that knowledge directly to enterprise pipelines. Comfortable with Linux, Docker, VMWare and cluster resource management (YARN), she focuses on robust, scalable data ingestion and transformation workflows. Mahsa also brings hands-on ML experience—Scikit-learn and Keras for EDA and model prototyping—paired with production-grade PySpark implementations. Colleagues describe her as someone who translates complex research ideas into operational, business-facing data platforms.
7 years of coding experience
4 years of employment as a software developer
Master's degree, Information Technology, Master's degree, Information Technology at Alzahra University
English, Persian
Github Skills (4)
apache-airflow1
docker1
apache1
airflow1
Github contributions (5)
mahsa71/kafkaTuning
Aug 2020 - Aug 2020
Contributions:9 commits, 8 pushes, 1 branch in 1 day
mahsa71/hadoop3.1
May 2018 - May 2018
Contributions:2 commits in 1 day
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