I've been working as a data scientist for more than 3 years in academic research. Have a lot of practical and theoretical skills in machine learning, deep learning, and data analysis.
I am skilled in Python, OOP, R, SQL, and Advanced Excel. Regarding statistics Knowledge, I have a strong background in Descriptive Statistics, Hypothesis Testing, Regression Analysis, and A/B Tests.
In addition to that, I am dealing with Pandas, Numpy for data analysis, besides seaborn and matplotlib for data visualization.
I have also a background in machine learning as following:
• TensorFlow and Keras for deep learning.
• Supervised Learning: Regression, SVM, KNN, and Naive Bayes.
• Unsupervised Learning: K-means clustering.
• Deep Learning: CNN.