CMMI High maturity involves extensive process data analysis for understanding the behavior of process performance with respect to achievement of set targets and management of processes towards improvement of the performance. Implementing CMMI high maturity using legacy tools and techniques often posed a big challenge in terms of quality of data, its analysis and validity of results. This presentation exemplifies a software engineering process dataset with the usage of open source python libraries for data wrangling techniques, data quality analysis, with feature engineering techniques and process performance models implementation with regression, classification and monte-Carlo simulation.