• Developed internal products and services enabling Amazon engineers to create robust, customer-centric solutionsby demonstrating the full software development lifecycle.• Troubleshooted CI/CD pipelines for seamless code deployment, utilizing tools such as Git and AWS CodePipeline toensure efficient processes from developer code check-in to production deployment.• Designed and mentored an intern on a critical feature project breaking tasks into milestones, offered technicalguidance and meaningful code reviews and ensured successful delivery along with quality output by the deadline.• Hands-on experience with designing and building database management systems to handle large volumes oftransactional data efficiently. Employed data partitioning, indexing and optimization techniques to ensure highperformance and data integrity.• Colloborated with cross-functional teams to develop and deploy RESTful APIs along with unit and integrationtesting. Raised the bar by constantly making code changes and improvements to team owned services.• Implemented several UI changes and aligned frontend with backend services to enhance customer experience.• Managed on-call responsibilities by monitoring system health metrics. Diagnosed and resolved systeminefficiencies, preventing recurring customer-impacting issues through bug fixes and robust testing.

Resolved the queries of students for the course- Big Data Technologies and grading their assignments/coursework

• Designed a web application for predicting probabilites of active/inactive drug targets for compounds according to diseases which can aid the pharmaceutical companies to rapidly discover new drugs. • Key responsibilities include: getting and cleaning data using Python, performing exploratory data analysis and visualization of useful insights, modelling the data using multi-label classification to find the overall accuracy.

• Wrote code that automates the data processing steps to predict the best future executive job postings based on the factors influencing like number of applications received and active duration for each job posting.• Used PowerBI to generate data from SQL Server to implement a live dashboard for visualizing weekly data on current operations of the organization which helped in generating revenues up to 60%.

Responsible for collecting and categorizing Data on PhD and postdoctoral research students of the Computer Science department from top tier Universities.Achieved better organization of information through Data Analysis which was helpful for recruiting faculty.

• Wrote code in Python to enable web scraping for identifying the trending words in highly cited research articles.• Implemented a workflow tool for authors and reusers to make their scientific work more easily reproducible and making the improvements of research outputs a continuous process.

• Maximized the usage of 15 water level sensors designed by the company with the help of a data model to divide them according to their pros/cons which was useful in selecting most appropriate sensor based on water usage.• Created interactive visualizations using Tableau to project the residential communities for installing the sensors.