Work experience

Twitter (Incoming) — June 2022 – Sept 2022

Machine Learning Intern – Twitter Health · California, United States

The mission of the Health organization at Twitter is to keep our users safe from negative experiences in a highly adversarial environment. This aligns with the company’s priority: growing the collective health, openness, and civility of public conversation.

Victoria’s Secret and Company (Ex–Lbrands) — Jan 2018 – Aug 2021

Senior Data Analyst · Bangalore, India

  • Customer marketing segmentation: Analyzed customer profiles and transactions at multiple levels; segmented the 32M active customer base into behavioural segments using cluster analysis, supporting merchandising and direct marketing for VS.
  • Customer analytics: Product marketing, store performance, and customer behaviour (clustering, logistic models, association rules, decision trees) with Python, SQL, SAS, and R.
  • Surveillance video analytics: Led the project on in-store journey and behaviour: heat maps and YOLOv3 for customer tracking and footfall statistics.

Nasdaq — Jun 2017 – Jul 2017

Internship · Bangalore, India

  • Recommendation engine: Hybrid (collaborative and content-based) for tailored article recommendations.
  • Investor targeting engine: Decision trees and association rules to help clients target investors from interaction data.

Education

M.S. Computer Science, Brown University

Providence, Rhode Island

  • Courses: Deep Learning, Computer Vision, Data Science, Data Visualization in VR, Privacy and Personal Data Protection
  • Head Teaching Assistant: Data Ethics and Society (DATA0080) with Dr. Deborah Hurley (Fall 2022); Deep Learning (CSCI2470) with Dr. Ritambhara Singh (Spring 2022)
  • Graduate Teaching Assistant: Data Engineering (DATA1050) with Dr. Samuel Watson (Fall 2021)

B.S. Computer Science, PES University

Bangalore, India

  • Courses: Machine Learning, Data Science, Advanced Algorithms, DBMS, Social Network Analysis, Image Processing, Information Retrieval
  • Research intern: KAnOE – Centre for Knowledge Analytics and Ontological Engineering