Aug 2022 – May 2023 · 9 mos · Remote

• Developing open access tools in the civic integrity and social media space.
• Analyzed inorganic spread of information using impact score, dependent on mean toxicity (Perspective API) , follower’s centrality, etc.
• Analyzed Interaction history of grouped users for articles of interest, to understand and identify coordinated activity
• Co-wrote a paper with the team titled "Expanding Access to ML Research through Student-led Collaboratives" (https://lnkd.in/dYtEeskQ), which got selected in NeurIPS 2022 Workshop on Broadening Research Collaborations in ML.

Jun 2022 – Jul 2022 · 1 mo

Aug 2021 – Oct 2021 · 2 mos

• Conducted a literature review on various algorithms and the topics explored included speed/accuracy trade offs and training methodologies.
• Implemented various models including Faster RCNN, YOLOv4, etc. on Google Open Images v6 dataset and VEDAI (VEhicle Detection in Aerial Images) dataset.
• Received Letter of Recommendation.

May 2021 – Jul 2021 · 2 mos · Mumbai, Maharashtra, India

• Migration from Google Suite to Microsoft 365: Individually worked on complete migration of company data (chats, emails and files) from Google Suite to Office 365 and achieved 100% success.
• Topic modelling and classification: Performed Automatic topic modelling and classification of data using Deep Learning & NLP techniques with more than 90% accuracy
• Received Letter of Recommendation.