Our data analysts use powerful analytics engines such as SQL, SAS, R and Python to fuel data driven decisions. Our data analysts have experience in the following areas.
- Using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Working with and creating data architectures.
Our data scientists and machine learning engineer’s create frameworks using algorithms such as linear regression, logistic regression, neural network, clustering and other deep learning techniques such as NLP, computer vision. Our engineers have expertise in following areas.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.