Helped design and create a statistics tool, primarily backend (in Django) to help re-engineer the way the R&D team run statistics on client data, decreasing the time of analysis by over 50%.

Dealing with R&D requests to add features on their “Dictionary” project. This involved constantly updating / creating RESTful API’s, UI feature and database schemas in order to work with the teams underlying agile methodology.

Created and deployed an NLP models to detect a candidate’s education and experience from a CV. The process included the model design, data collection, annotation and model training.

Adding a CV analysis feature on to the company testing server. Created and designed the model structure to fit with the companies micro-services framework. Writing backend RESTful API’s to access the NER models that were built for the feature (above point). Built in Flask.

Developed SQL queries and views to fetch necessary data from a legacy database as well as helping with the design process of other newly created databases.