Nael A.

Dear Sir, Thanks for your interest to review my profile. I graduated from the University of Jordan as Mechatronics Engineer, I worked in contracting companies as an electrical engineer in a different types of projects for six years. As a part of my work, I earn analytical skills in dealing with data (cost estimation, quantity surveying, payment preparation, statistical analysis for labors’ progress). Recently I have decided to switch gears from applied engineering to data science. And to complete this move, I have enrolled and finished the “IBM Data Science Professional Certificate” path that consists of ten courses. The next step I have taken towards extending my experience is to join the “datacamp” website, which has courses and applied projects that utilize different data science and analysis sets of skills and tools. Skills: 1- Math: Statistics, Probability. 2- Programming: Python. 3- Analytical Tools: SQL, Excel. 4- Data Visualization: Matplotlib, Seaborn, Folium, Plotly Dash. 5- Data Wrangling: Pandas, NumPy. 6- IDE: Jupyter Notebook, VSCode. 7- Machine Learning (scikit-learn): Supervised: (Simple, Multiple, Linear, Non-Linear, Polynomial, and Logistic) Regression, K-Nearest Neighbors, Support Vector Machines, and Decision tree. Unsupervised: K-Means, Hierarchical Agglomerative, and DBSCAN. Deep Learning: Neural Networks.