Harsh Rangwani
Data Scientist@val-iisc
Indian Institute of Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
@val-iisc
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Indian Institute of Science
Data Scientist
June 25, 2026 – Present
SelMix
December 19, 2023 – April 23, 2024
[ICLR 2024] [Spotlight]Code for our paper SelMix: Selective Mixup FineTuning
View ProjectCostSensitiveSelfTraining
October 11, 2022 – November 18, 2023
[NeurIPS 2022] This repository contains the code for our work CSST: Cost Sensitive Self Training for Optimizing Non-Decomposable Objectives
View ProjectTrainingOverParametrisedModels
February 2, 2022 – May 25, 2023
pytorch implementation of the paper "Training Over-parameterised Models with Non-Decomposable Objectives"
View Projectpytorch-rbm-classification
June 26, 2019 – July 7, 2019
Pytorch implementation of Classification using Discriminative Restricted Boltzmann Machines
View ProjectBottomUpTopDownAttention
June 10, 2019 – June 10, 2019
Bottom Up and Top Down Attention For Image Captioning
View Projectchar-cnn-char-rnn-sentiment-analysis
March 20, 2019 – March 21, 2019
char-cnn-char-rnn-sentiment-analysis — GitHub repository
View Projectsentence-encoder-irony-detection
November 21, 2018 – January 26, 2019
Allennlp based irony detection models.
View Projectirony-detection-allennlp-basic
October 23, 2018 – November 11, 2018
irony-detection-allennlp-basic — GitHub repository
View ProjectPaint-it-out
March 8, 2017 – October 27, 2017
A game for android devices where the user has to paint the cubes using minimum number of strokes/swipes in minimum possible time.
View ProjectCultural Fit Analysis
The candidate's project history shows a strong focus on academic and research-oriented machine learning, primarily in Python. This aligns well with roles requiring deep technical research and development in data science. However, the projects are predominantly personal/academic, and there's limited evidence of collaborative team projects or diverse industry applications, which might impact cultural fit in a fast-paced, product-driven environment. The single listed professional experience is current and recent, making it difficult to assess broader cultural adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed or results are unavailable.