hesham Hatem

Built end-to-end data pipelines across the Hadoop ecosystem (HDFS, MapReduce, YARN, Hive, HBase) as part of Huawei HCIA-Big Data certification training. Processed batch and streaming workloads using Spark, Flink, and Kafka, operating Hadoop clusters on Linux with NoSQL databases (HBase, MongoDB).

Cleaned and transformed 10,000+ marketing records using Excel and Power Query, improving data preparation accuracy for downstream analysis. Developed 10 interactive Power BI dashboards from cleaned marketing data, surfacing key business metrics for stakeholder reporting.

Applied supervised and unsupervised learning techniques (classification, clustering) to real-world datasets using Python and TensorFlow, including CNN, RNN, and ANN architectures.

Grade: 3.4 (Very Good)

Pursuing a Bachelor of Computer Science & Artificial Intelligence with an expected graduation in June 2026. Achieved a GPA of 3.4 (Very Good) and ranked 7th among colleagues.

Completed Big Data training as part of Huawei HCIA-Big Data certification, building end-to-end data pipelines across the Hadoop ecosystem and processing batch and streaming workloads with Spark, Flink, and Kafka.

Completed Data Analysis training, cleaning and transforming 10,000+ marketing records and developing 10 interactive Power BI dashboards for stakeholder reporting.

Completed AI & Machine Learning training, applying supervised and unsupervised learning techniques to real-world datasets using Python and TensorFlow.