I was asked to clean the data given and to analyze the data based on their ratings. Movies were divided based on their genre.

The dataset is cleaned and types of aircrafts are found out. The observations are described well

Data collection and exploration using PythonExposure to SQLHypothesis testing to arrive in proper conclusions

Client – Leading supplier of systems for power generation and transmissionWorked in PLM and Teamcenter software.Designed parts of engine in NX softwareWorked in Engineering Change ManagementWorked in the design of raster images and release of parts in PLMEngagement with clients on a day to day basis.

Client – Leading supplier of systems for power generation and transmissionAnalyzed turbines and compressors using SC03 toolDamage Tolerance Analysis of TurbinesManufacturing Anomalies Assessment of compressors and turbinesCreep assessment with different time constraintsExperience in technical report writing.

Data cleaning and model buildingTraining the data to learn and predict from the dataData visualization

Data identification using different clustering algorithmsHistorical data analysisData categorization