Accessibility Analyst

• Jun 2022 - Present

Student Ambassador

• Oct 2021 - Sep 2022

Responsibilities include representing the university, organising and taking part in student panels, responding to student and parent inquiries, conducting campus tours, and moderating discussions. Recognised by supervisors for approachability, communication skills, and attention to detail. Responsibilities include representing the university, organising and taking part in student panels, responding to student and parent inquiries, conducting campus tours, and moderating discussions. Recognised by supervisors for approachability, communication skills, and attention to detail.

Data Science Trainee

• Jun 2020 - Jun 2021

Improving chatbots UX using sentiment analysis for automatically detecting when human intervention becomes necessary. o Prototype chatbot created using Rasa. Sentiment analysis conducted on obtained data using HuggingFace Transformers, Word Embeddings, and Vader. Visualized using interactive dashboards. o Fully-functional API using Flask was created for merging with existing chatbots. o Product successfully pitched to clients. NLP-based mixed-methods research to analyse the effects of COVID-19 on frontline workers using social media and interview data. o Data extracted using APIs and visualized in Python and Tableau, model to predict mental health developed based on classification algorithms. Comparison between supervised learning, ensemble techniques, and neural networks using word and sentence embeddings with Keras TensorFlow. o Initial report published on company website: https://www.soprasteria.in/insights/india-insights/point-of-view/analysing-the-impact-of-covid-19-on-frontline-workers-using-ml Synthetic Data Generation using GANs o Building a model to accurately make predictions from small training data. o GANs to artificially extend tabular data. Vanilla GAN, WGAN, Copula GAN, and CTGAN used for synthetic data generation. o Supervised learning model built to identify performance and a comparative study between different GANs conducted.

Regional Coordinator

• Jun 2016 - Dec 2020

Intern

• May 2019 - Jun 2019

Developed an AI-based model to predict advertisement success using Computer Vision: o List of features impacting success such as brand ambassador, target audience, duration, and product were identified based on market analysis. o Features extracted included video metadata, celebrity detection, gender recognition, and product identification using OpenCV; classification using historical data for supervised learning. o Prototype accepted and approved by client for further development. Developed an AI-based model to predict advertisement success using Computer Vision: o List of features impacting success such as brand ambassador, target audience, duration, and product were identified based on market analysis. o Features extracted included video metadata, celebrity detection, gender recognition, and product identification using OpenCV; classification using historical data for supervised learning. o Prototype accepted and approved by client for further development.

Intern

• May 2018 - May 2018

Short-term internship in clinical psychology to provide mental help for the rural poor o Responsibilities included included attending classes and practical sessions on case history taking, psychosocial assessments, mental disorder classificatory systems, and mental state examinations o Shadowed a psychiatrist and interacted with patients with neurotic, psychotic, and organic disorders o Taught practical computer application classes to volunteers Short-term internship in clinical psychology to provide mental help for the rural poor o Responsibilities included included attending classes and practical sessions on case history taking, psychosocial assessments, mental disorder classificatory systems, and mental state examinations o Shadowed a psychiatrist and interacted with patients with neurotic, psychotic, and organic disorders o Taught practical computer application classes to volunteers