Krishna Patel

Adept at managing regulatory documents from start to finish, including assessing audits, evaluating technical data and checking information accuracy. Well-spoken and friendly with top-notch abilities in information verification, report preparation and records management.

• Presented paper at International Conference on “Machine Vision and Augmented Intelligence (MAI2021)
• Attended 8 weeks of, the Industry Connect Internship Program (Jan 2022 to Mar 2022)
• Attended training at the hands of an Application specialist from the Anchrom TLC/HPTLC Department (Nov 2022)
• RAPS Membership- Regulatory Affairs Professionals Society (March 2024- March 2025)

• Diabetes Prediction Using Deep Learning Model (Jan 2021) : Presented a fully automatic diabetes detection system. The proposed detection system included the pre-processing of features, training, and testing stages. The highest 96.01% of training and 96.06% of testing accuracy are obtained with the proposed model.
• Method Development And Validation of Dapagliflozin and Vildagliptin in their Combined Pharmaceutical Dosage Form by High-Performance Thin Layer Chromatography (Jul 2023): As per ICH guidelines, the developed method had its linearity, accuracy, precision, limit of detection, limit of quantification, and assay within accepted criteria.