Data science and machine learning researcher with a mathematical background who loves learning new methodologies and new technologies. Possessing extensive analytical skills, strong attention to detail, significant ability to work with a team, good at time management, and taking responsibility.

Good-knowledge of Explanatory Data Analysis (EDA), data cleaning, data manipulation, data visualization, and feature engineering using Numpy, Pandas, Matplotlib, Seaborn and Plotly libraries in Python.

Good-understanding of the mathematics behind Machine Learning models such as supervised ( Regression and Classification models ) and unsupervised learning (Clustering models).