The rapidly increasing volume of data – both structured and unstructured – in the pharma industry creates several challenges as well as opportunities for large-scale data mining. Extracting relevant information from unstructured text, connecting the extracted semantic information via graph and enriching it with available domain ontologies to unlock true potential of the data. Our team at Fresh Gravity has been extensively performing text mining, ontology creation & development, ontology merging, creating knowledge graph and visualizing in a user friendly manner specifically in pharma domain.

Main learning points for attendees

- How would a end-to-end data pipeline for Knowledge Graphs look like

- Useful Open source tools

- Ontology Development and Enrichment

- Advantages of Knowledge Graphs

Local ODSC chapter in Delhi, India

[19th-21st April] Get 75% discount on you ODSC East 2022 conference -

Instructor's Bio

Prashant Choudhary

Manager – Data Science & Analytics at Fresh Gravity

Prashant have over 6 years of experience in developing data driven solutions for business problems. 

Prashant’s expertise includes all aspects of advanced analytics including descriptive, predictive and prescriptive analytics, machine learning, deep learning, knowledge graphs and big data.

Prashant has built data driven solutions in diverse service sectors with a major focus in life sciences domain.


  • 1

    ON-DEMAND WEBINAR: Creating a Semantic Knowledge Graph from Scratch

    • Ai+ Training

    • Webinar recording