Experience

LiveRamp

• United States
• Advertising Services
• 700 & Above Employee

• Software Engineer

  • Sep 2021 - Present



Apple

• United States
• Computers and Electronics Manufacturing
• 700 & Above Employee

• Machine Learning Intern

  • Jun 2020 - Aug 2020

  Developed a data-agnostic generative adversarial network to augment training data for computer vision models Created a web scraping tool to build a training dataset by querying Google images Hosted a learning session on the Apple machine learning ecosystem for all AppleCare employees Built image classification models in TensorFlow and TuriCreate for AppleCare internal use Developed a data-agnostic generative adversarial network to augment training data for computer vision models Created a web scraping tool to build a training dataset by querying Google images Hosted a learning session on the Apple machine learning ecosystem for all AppleCare employees Built image classification models in TensorFlow and TuriCreate for AppleCare internal use



QuanticMind

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Intern

  • May 2019 - Jul 2019

  - Developed internal tools through R-ShinyApp interface, to scale autonomous processes - Provided analyses to customers to help them make data-driven, goal-oriented business decisions - Scaled anomaly detection process to higher functionality which helped reduce customer churn rate - Built auditing tools to aid with the customer on-boarding process - Developed internal tools through R-ShinyApp interface, to scale autonomous processes - Provided analyses to customers to help them make data-driven, goal-oriented business decisions - Scaled anomaly detection process to higher functionality which helped reduce customer churn rate - Built auditing tools to aid with the customer on-boarding process



Edelweiss Financial Services Limited

• India
• Financial Services
• 700 & Above Employee

• Summer Intern

  • May 2018 - Jul 2018

  Updated risk models from Excel to python on Apache Spark platform, supporting instant stock data, for easy replication. Improved models to calculate Greek parameters based on daily fluctuations rather than boundary price conditions. Implemented user friendly files to assess risk for complex options, including rainbow and auto-call options. Helped the team learn fundamentals of python to facilitate the switch from Excel to code based risk models Updated risk models from Excel to python on Apache Spark platform, supporting instant stock data, for easy replication. Improved models to calculate Greek parameters based on daily fluctuations rather than boundary price conditions. Implemented user friendly files to assess risk for complex options, including rainbow and auto-call options. Helped the team learn fundamentals of python to facilitate the switch from Excel to code based risk models