•Built a Data Warehouse from scratch, performed all ETL operations to gatherand store data from various data sources including MongoDb, Postgres whichprovides 24/7 availability to Sales, Credit, Operations and variousdepartments of Ziploan to retrieve, analyze data easily and to make importantbusiness decisions,•Developed ETL scripts which enabled weekly processing of 1-2 GB data intodata warehouse and provides optimized performance.•Worked on various analytical and statistical techniques to provide useful insights,•Generated various Reports (from various Databases) from scratch as per the business needs,•Tech Stack: Python, MongoDb, PostgreSQL, Pandas, Jupyter Notebooks, Atom and other python libraries.

•Worked on Leggero, online platform of Nyalazone Solutions which is company’s internal Search engine and shows user and employee information available on Nyalazone’s server. Added features like Auto-complete, Auto-correct etc.•Designed new program as per Requirements using NLTK and Machine learning.•Preprocessed, cleaned and analyzed company’s data to a more structured form using Python and Migrate existing code from Python 2 to Python 3.