Chemical and medical experimental data storage pipelines often struggle with uniformity and standardization across different teams and labs. With a large number of experiments being carried out, it can become increasingly tough to replicate and keeping track of the results.
I explored different pipelines used by large pharma companies and developed a graph-based data model to store the experimental results in an easy to retrieve way.
I also developed a webapp and a website for the ease of lab scientists from non-technical backgrounds.
The implementation code is propriety property of Aganitha Cognitive Solutions.