Abdel Rahman Nawasreh

WORK HISTORY

EDUCATION

ABOUT ABDEL RAHMAN NAWASREH

As a committed Bachelor of Data Science and Analytics student at Seneca Polytechnic, I bring a combination of strong academic achievement and a passion for data-driven technologies. My technical foundation is robust, encompassing advanced machine learning principles, statistical analysis, and deep learning techniques. I am adept in designing algorithms, including Greedy algorithms, and in utilizing efficient data structures to optimize performance.My proficiency with the Python data analytics stack—Pandas, Numpy, Scipy, Scikit-learn, and Matplotlib—allows me to handle complex data analytics tasks fluently. I have applied machine learning techniques extensively for predictive data analytics and have developed competencies in time-series based regression and classification using advanced deep learning methods.I also bring experience with large-scale training systems and databases, utilizing SQL Server and PySpark to manage big data environments. This includes implementing data parallelism and model parallelism techniques to enhance computational efficiency.Furthermore, my technical skills extend to a variety of programming languages and tools including Python (with Flask framework), R, SAS, SQL, M language (Power Query), and DAX. I am also well-versed in using a broad range of data science tools such as Microsoft Office Suite, Google Workspace, Adobe Creative Suite, Jira, Power BI, SAS, R Studio, MongoDB, Cassandra, Tableau, Spark, Databricks, GitHub, PyCharm, and Jupyter Notebook.