• Data extraction, cleaning, transformation, analytics, automation, prediction, machine learning, reporting/dashboard
• Experience using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets.
• Experienced with Data Science programming languages, development tools and platforms such as Python, R, Excel, Google Cloud Platform, Anaconda, Jupyter Notebook
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
I will add value to your data by application of high dimension computation for effective decision making by using Machine Learning techniques for predictive analytics.