• Automated the manufacturing process of version 2.0 braces, providing the doctors with a highly responsive and user-friendly ecommerce interface by ensuring trusted cybersecurity to carry out business efficiently using React, Redux, Django, Python, and

Nextflow pipelines.

• Major role in code refactoring and optimization ensuring the design and secure coding principles using Django ORM.

• Part of major infrastructure upgrades i.e migrating dropbox to AWS s3, Secure log storage.

• Carried out APM profiling through NewRelic to ensure high performance by exposing the bottlenecks throughout the application. Improved performance of poor APIs from >10s to 100 ms.

• Conducted topic modeling along with Bert Aspect Based sentiment analysis on Covid vaccine tweets to extract positive and

negative topics and improved the outreach of vaccine. Successfully achieved 80% coherence score.

• Analyzed trends in the high school data by clustering data using the K means model and performing exploratory analysis that helped

increase the graduation rate by 3%. Worked closely with front-end team to build visualization dashboards for the insights.

• Classified web scraped Indeed resumes based on the experience and education titles using NLTK, SpaCy, and Scikit-Learn python

libraries for text classification.

• Developed a fully functional web application that maintains articles on Infosys with responsiveness and high-end search specifically about work culture, events, and achievements taking place all around Infosys.

• Received intensive training on Spring MVC, Hibernate, and Angular7 framework along with typescript and Rest API in the agile environment ensuring the security aspects of the system.

• Automated irrigation cloud systems by conducting statistical analysis to find environmental factors that significantly contribute to the effect of sprinkler action and implemented predictive analysis using supervised learning algorithms.

• Constantly integrating and modeling the sensor data that is obtained through a cloud application.

• Conducted comparative study on various ML algorithms such as SVM, Random forest, Naive Bayes, Logistic regression and found

that logistic regression is the best fit for the data and attributes. The accuracy achieved is 92%.