Narendrakumar Hosamani

Teaching Assistant - Principles of Statistical Modeling

- Creating data pipelines for processing of reinsurance treaty data - Build Power BI dashboards for visualization and analysis of the data - Ensure data quality and make enhancements in the data model

- This project in Data Engineering builds on research projects on the stability of electricity grids, in particular the joint research initiative ConDyNet funded by BMBF http://www.condynet.de - Time series analysis of the wind energy infeed on the phase angle (to determine the power flow direction) - Forecasting of phase angle using LSTM models

- Extensively trained to master concepts of OOPs using Python, DBMS, and Business Intelligence concepts. - Design and development of ETL pipelines on Hadoop Data-Lake and create data-marts on the OLAP Databases. - Automating the ETL process by job scheduling of data ingestion & distribution systems. - Interpret, clean, consolidate and analyze data. - Perform independently and assist others in analyzing, designing, coding, debugging and installing large or several smaller solutions.

- Data Analytics - Data Mining - Machine Learning - Big Databases and Cloud Services - Data Acquisition and Sensor network - Probability and Statistics - Linear Algebra - Image processing