Technical Trainer

Description:

● Specialist in the data tools and concepts
● Specialist in statistical techniques and concepts (regression, properties of distributions, statistical tests, MLE, proper usage, etc.)
● Specialist in applying a variety of machine learning techniques (e.g., Linear Regression, Logistic Regression, Decision Tree, Naive Bayes, kNN, K-Means, Random Forest, Dimensionality Reduction Algorithms, and Gradient Boosting algorithms) to create real-world solutions
● Specialist in one prescriptive modeling techniques such as optimization, computer vision, recommendation, or NLP
● Specialist in Git
● Specialist in Unix and Jupyter