MS Research Scholar CVIT, IIIT Hyderabad
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Semseg-Notebooks
February 13, 2020 – June 3, 2020
This repository contains IPython notebooks explanining semantic segmentation from scratch.
View ProjectAshutosh1995.github.io
November 4, 2019 – October 6, 2022
Ashutosh1995.github.io — GitHub repository
View ProjectReading-Comprehension
September 19, 2019 – September 19, 2019
Code for course project done in NLP Course under Prof Manish Srivastava, IIITH
View ProjectTwin_Auxiliary_Classifier_GAN
September 9, 2019 – September 19, 2019
Twin Auxiliary Classifiers GAN (NeurIPS 2019) [Spotlight]
View ProjectRPISegProject
May 24, 2019 – June 3, 2019
Repository containing code to do performance modelling on RPI
View ProjectSymmetric-Difference-of-Polygons
February 14, 2019 – February 17, 2019
Repository containing code for symmetric difference of polygons
View ProjectLRR-Semantic-Segmentation
October 22, 2018 – September 17, 2019
Course project for Computer Vision to reproduce ECCV 2016 paper "Laplaican Refinement and Reconstruction Network for Semantic Segmentation""
View Projectgender_classification
October 30, 2017 – November 27, 2017
This repository contains the codes for SMAI course project for the year 2017
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards academic and research-oriented projects, particularly in machine learning and computer vision. This suggests a fit for roles that value deep technical exploration and problem-solving. The diversity of projects, from GANs to semantic segmentation and NLP, indicates a broad interest within the data science domain. However, the lack of team-based or industry-focused projects makes it difficult to assess collaboration and real-world application experience.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data was collected or processed for this area.