Samir Gaykar

Project: Data Migration • Analyzed existing ETL processes • Developed ETL scripts for data cleaning • Designed data pipelines in Azure for the data migration • Performed code review and data testing

Project: Hercules • Created data pipelines to add and update data on the weekly basis • Developed models using Machine Learning algorithms to analyze the engine performance • Presented data and conclusions to team in order to improve strategies and operations • Used Power BI for data intelligence and analysis Project: Jupiter • Performed exploratory data analysis to get the data insight • Developed models using Data Mining techniques to draw conclusions for managerial action and strategy

Project: Image Classification and Grading • Developed Neural Network models using Deep Leaning algorithms • Classified and graded wood based on its quality as shown in the respective image

Project: Application areas for Machine Learning in Vessel Performance Management • Created models using Machine Learning algorithms • Performed exploratory data analysis on the vessel data

Project: Baseline Generator • Created models using Machine Learning algorithms • Developed web application with interactive graphs using Python

Project: Customer Classification • Created Deep Neural Network to classify the customers

Project: NAMOS • Created and executed test cases

Project: Dashboards and Reports • Created technical design to develop charts, dashboards and reports • Developed charts for the better data visualization using Tableau • Developed interactive dashboards using Power BI • Created SSRS reports & changes in the existing SSRS reports