 Utilized NLP/ML libraries NLTK and gensim for text preprocessing and topic modelling for data extraction from Zoom interviews to understand crucial factors of Intellectual Property procurement with a 90% accuracy in factor identification.

 Created a quantitative model in Excel, performing pairwise comparison matrices of the key factors and consistency ratio calculations to understand the correlation between the factors.

 Developed game theory models in Python to simulate bidding patterns which provided insights into behaviours of Government and bidders during negotiations, resulting in ~25% reduction in negotiation time.

 Led a team of 4 to automate daily comparison of 20M network faults between two distinct UI platforms using Java and Selenium, reducing manual effort by 70%.

 Spearheaded migration of 80% of network elements based on SNMP versions by retrieving data from MySQL and executed comprehensive post-migration testing using JUnit leading to better performance of devices and increased customer satisfaction.

 Implemented CI/CD pipeline using Jenkins and Git, improving code integration, streamlining deployment processes and minimizing downtime during releases by 40%.

 Coordinated with stakeholders to define key performance indicators (KPIs) and utilized JIRA resulting in 25% increase in team productivity through effective task tracking and sprint planning.