Data science and machine learning researcher with an engineering background who likes to learn new methodologies and new technologies. Have extensive analytical skills, strong attention to detail, significant ability to work with a team, good at time management and take responsibility.

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

Have a good understanding of the math behind Machine Learning models such as supervised (Regression and Classification models) and unsupervised learning (Clustering models).