About Nima

I am a performance engineer in Telecom with a computational physics background and data analysis skills. I have experience in monitoring, testing to improve the reliability and efficiency of telecom networks and services, using various EDA tools and data science and machine learning techniques. I have expertise in Python, R, SQL, and Tableau, and I am familiar with tools such as Spark, Kafka, Hadoop, and Airflow. I am eager to master data engineering skills and learn how to design, build, and maintain scalable and robust data pipelines and systems. I am looking for a position that will challenge me to apply my analytical and problem-solving skills.

Data Science Machine Learning Data Engineer ETL SQL Python AI ML Pipeline Data Analysis Big Data Tableau
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