Core Python Development (Data Processing/Automation) Internship

Selected intern's day-to-day responsibilities include:

1. Working on code efficiently on accessing, processing, ingesting and creating exception-based reporting for new data using core Python and its open-source libraries
2. Working on open source libraries of Python for doing NLP and other scripting tasks such as Scikit, NumPy, Pipenv, TensorFlow, Keras, pandas, etc.
3. Scraping/ accessing unstructured data and then forming a schema and ingesting the said data into the backend database (MongoDB/ ElasticSearch, Postgre, etc.)
4. Working alongside other talented cross-functional developers and communicating the information to them clearly
5. Building models and algorithms with an interest in data science
6. Ensuring that your code is available for review at any open source repository such as GitHub, GitLab, Bitbucket, etc.

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