MASc at Queens. Time series.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
social-graph-from-news-articles
May 25, 2025 – May 28, 2025
An end-to-end framework from generating social graphs of individuals and organisations from news articles
View ProjectTAFAS-PyTorch
March 5, 2025 – March 6, 2025
An unofficial implementation of "Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation"
View ProjectS3-TimeSeries
May 28, 2024 – October 26, 2024
Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations
View ProjectMicroBitMorseCode
October 2, 2023 – October 2, 2023
MircoBit Morse Code Decoder and Sentence Display.
View ProjectVisionAir
May 22, 2019 – November 25, 2022
Runner's Up submission under The Marconi Society's Celestini Prize India. This repository entails my contributions to our project VisionAir : A privacy-preserving smartphone application that can be used to estimate the Air Quality Index from an image that the user takes. The application uses On-Device training to ensure complete isolation of the user's private data and also uses federated learning to diversify the response of the global deep learning model iteratively
View ProjectEazyCharge
February 25, 2019 – April 17, 2019
An application for the charging operators to maximize their audience and the profits.
View ProjectEyantra-Thirsty_Crow-Team_ID-972
November 15, 2018 – April 17, 2019
Winning submission in eYantra 2019
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards research-oriented and innovative projects, particularly in AI/ML and data science. This aligns well with roles requiring problem-solving and continuous learning. However, the projects are predominantly personal, and there is no information on collaborative team environments or professional experience, making a comprehensive cultural fit assessment challenging. The diversity of projects, while technically impressive, doesn't directly translate to cultural fit without more context on team dynamics or work style.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an ability to work on complex problems and potentially collaborate, but no direct evidence of communication, teamwork, or stress handling is available.