Komal Kalpesh Saraiya

1. Compared the step-by-step procedure in data pipeline for Clinical vs. R&D(Preclinical) data 2. Built a data pipeline using ETL process for Clinical data, which is in the form of flat files 3. The steps include Requirement gathering, Data exploration, Data modeling, Data validation, Transformation, Loading and Visualization 4. Created meaningful dashboards of Clinical data in Tableau for scientists

1. Assisted Lead Data Scientist in building a data pipeline for R&D data, specifically with Loading, Data enrichment and Transformation 2. Worked on transforming JSON data and load it into tables using PostgreSQL procedures 3. Created an Excel Add-In using VBA, for end-users, as part of Business Intelligence 4. Helped create Progress Reporting via Email using Python, PostgreSQL and HTML 5. Assisted in running quality checks on data and fixing data issues 6. Built Views and Trigger functions

1. Communicated with at least 10 different people every day. This included the customers using Microsoft’s technologies in different countries, the consultants of Microsoft, Technical Account Managers and the Technical leads 2. Provided support over call for MNCs or Government organisations that purchased Microsoft Productsin the North America, Europe and Middle East Regions 4. Have worked on many Critical cases where entire organisations were highly impacted

1. Attended Technical training provided by Microsoft 2. Learnt the over view of Microsoft Products such as Windows, Office, Exchange and Active Directory.

Mobile and Internet Computing Communication System Security