May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States

• Built a platform-independent pluggable module for generating personalized Chart Generations from any tabular data, without having to manually query data
• Implemented a snapshot feature, enabling a user to save the real-time state of any Facebook data tool, thereby reducing the need to manually export any table/chart/notebook

Jan 2022 – May 2022 · 4 mos

• Part of the Fall '22 cohort
• Building a product/platform to help job seekers/recruiters

Nov 2021 – Apr 2022 · 5 mos · San Jose, California, United States

• Helped in the ABET evaluation of the university by submitting a design that would automate the evaluation process(which was being done manually before) and give a binary outcome.
• Redesigning course information documents to follow the prescribed ABET standard by defining a standard template to satisfy the ABET regulations

Aug 2021 – Apr 2022 · 8 mos

• - Mentoring students who are looking to pursue their Master's degree in the US. My responsibilities involve helping them narrow down their list of courses in specific universities and guiding them through the application process, including drafting an SOP and other application related materials.

Apr 2021 – Aug 2021 · 4 mos

• Built User Interface and automated the process of reading Patient referrals in UCSF( University of California, San Francisco), making the process 10% faster and removed any manual intervention.
• Integrated all the API functionalities dealing with modifications of a PDF referral, making the process of responding to referrals 15% faster. I was awarded the ‘Star Employee of the Month’ for this project among 5,000+ employees in Philips India Web team.
• Went beyond my scope of work and performed market research about the features offered by competing products, analysis on the usage of the beta version of the application and designed marketable prototypes to get potential customers excited about the product. Took product to market and achieved a usage spike of 20%.

Jun 2019 – Mar 2021 · 1 yr 9 mos

• Designed and built an interactive user interface for a Patient Alerting System using Angular, for Boston Medical Hospital. The UI was able to display alerts of varying severity from 5 departments and increased usage rate of the application by 15%.
• Built a Full-stack web application for Mass casualty incidents in Boston using Angular, C#. Enabled any rescuer to answer a basic questionnaire and admit patient to a hospital, reducing turnaround time by 2 hours on average.

Feb 2019 – Jun 2019 · 4 mos

• - Designed and built a User Interface for Emergency Department in Baptist Hospital, Bangalore. Won the award of ‘Best Intern Project’ among 200+ interns across India and US in Philips Web-App Division.

Jun 2018 – Aug 2018 · 2 mos · Bangalore

• - Developed the user interface for ‘Hypothalamus’ - Myntra’s rate limiting system using Angular. This system was used to throttle and rate limit requests to protect Myntra’s services.

Jun 2017 – Jun 2018 · 1 yr · Bangalore

• - Created a chatbot to answer queries on ‘Smart Home’ by using Dialog-Flow. Reduced customer service calls by 40% after the chatbot was deployed, while maintaining the Customer Satisfaction score of 4/5.

Jun 2017 – Aug 2017 · 2 mos

• Used visual recognition API in IBM Watson and implemented it in Python.
• Added classes and classifiers in addition to what is inbuilt to improve analysis of an image.
• Created a webpage using Django which allows any user to upload an image of their choice, to identify objects in the image.

Jun 2017 – Aug 2017 · 2 mos

• Worked under Professor Sameer Maathur of IIM Lucknow/Carnegie Mellon University
• During the internship, I worked on the following Harvard business cases:
• Hotel Industry Pricing Model using Linear Regression in R.
• Airline Industry Pricing Model using Linear Regression in R.
• MBA Seat Acceptance using Logistic and Linear Regression in R.