● Developed RESTful API to maintain user profiles in leads change platform, reducing duplicate MySQL

database entries by more than 85% using Java, Spring, and Hibernate.

● Engineered system to import contacts from 90% of external social media sources with 95% mapping accuracy into leads exchange platform using Python, Openpyxl and Pandas, optimizing manual process by over 10X.

● Created tweet analysis tool for recognizing sentiments towards clients with 78 - 80% accuracy using Python, Stanford CoreNLP parser and scikit-learn.

● Constructed ‘Application Status Tracking’ platform for faculty and research personnel utilizing C# and ASP.NET which reduced support tickets by 75%.

● Architected ‘Search Result Retention’ module in C#, ASP.NET and JSON to retain results from search queries for Office of Vice Chancellor for Research, enabling multiple searches to be conducted 10X faster.

● Created batch job to automate email reminders for approving submissions for research, eliminating 100% of manual need to follow up with professors on applications, utilizing C#, PL/SQL and Oracle11g.