1. Data processing, cleaning and validating the integrity of data to be used for analytics

Data extraction using valuable data sources

Perform initial investigation and exploratory data analysis

Analyzing large amount of data to find patterns and solution

5. Build predictive machine learning models using alogorithms like regression, tree based, boosting etc

6. Develop econometric and statistical models for various problems including projections, classification, clustering, pattern analysis, sampling, simulations, and so forth.

Propose solutions and strategies to tackle complex business problems