Please modify the data science resume below

• Solid experience in Data Management with machine learning technique and statistical modeling and performed data extraction from different sources, clean , and process large datasets to ensuring data quality and uniformity for analysis.
• Data analysis and Modeling. This process involved by reading an aircraft data, understanding the data, preprocessing the data based on business requirements, building Data warehousing, and applied statistical modeling to predict parts lifetime
• Applied statistical analytics expertise knowledge in both inference and prediction and develop some modules based on users' requirements.
• Using a Machine learning Supervised/Unsupervised algorithm to build a classification model based on the training data given by engineer and apply classification to unlabeled data (Test) that has not been reviewed by an engineer. Also build a classification model when entire data contains (Unsupervised/unlabeled)
• Working closely with business leaders to understand the project goals and apply data insights to inform strategic decision across departments.
• Communicating and present data visualizations and automated reports and communicate complex results and business impacts to stakeholders.
• Using operators (Airline) Data against predictive algorithms and providing performance recommendations for airlines (Operators).
• Responsible for research and develop solutions to data analytics challenges using advanced mathematical and statistical techniques.
• Transforming mathematics and statistical algorithms in SAS, Python and R codes and using machine learning and AI frameworks to build and deploy models.