Transportation

The Transportation category requires skills in "Solid experience applying one or more of the following analytical methods: regression (preferably mixed models), data classification and reduction (e.g. cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques. Deep understanding of statistical modelling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. Solid technical database knowledge (BigQuery, Oracle) and experience optimizing SQL queries on large data. Advanced Statistical theoretical and application experience. Proven Exploratory Data Analysis and Visualization experience using R and Python (Numpy, Pandas, Scipy, Plotly, Matplotlib) Analyze, summarize, and characterize large or small data sets with varying degrees of fidelity or quality, and identify and explain any insights or patterns within them Familiarity of core principles of data modelling and data warehousing Experience in handling 1000+ lines complex SQL codes to deliver complex data based solutions in both development and data analysis work. Expert in Python and experience of writing production ready code and fundamental understanding of OOPs concepts. Exposure to ML Platforms such as GCP, Azure, AWS".