Rajesh Sharma

1. Developed the ML Classifier for predicting the PII columns in the source tables after training the model on a data dictionary. 2. Participated in the prediction modeling event to develop the ML classifier for predicting "Client Rollover" with a ROC score of 0.92. 3. Playing the role of ETL Lead to build the Operational Data Store which can further be used as a one-point source for Data Analytics.

1. Worked in the project for predicting the mapping of a Financial Source database system with OFSAA(Oracle Financial Services Analytical Application) relational tables. 2. Involved in the Data Lake project for the world's premier healthcare company using BigData(PySpark and HDFS) ecosystem.

1. Being a member of the "Global Fund Data Repository" team, I worked on ETL designing and development for Data Warehousing and Regulatory Reporting projects. 2. Tuned the performance of the existing system used for data loading and exporting processes.

Bachelor of Technology with specialization in Information Technology and following subjects: Programming Real-time systems Digital Image Processing