AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
json_prop_generation
April 2, 2023 – April 3, 2023
json_prop_generation — GitHub repository
View ProjectPureML
January 3, 2023 – January 6, 2023
Track, version, compare and review your data and models.
View ProjectIndic-Leaf-Dataset
May 26, 2020 – February 26, 2022
Indic-Leaf-Dataset — GitHub repository
View Projectcv_project_spring18
April 14, 2018 – April 17, 2018
cv_project_spring18 — GitHub repository
View Projectgender_classification
October 30, 2017 – November 27, 2017
This repository contains the codes for SMAI course project for the year 2017
View ProjectK-svd
October 16, 2017 – October 30, 2019
Image Denoising via Sparse and Redundant Representations over Learned Dictionaries
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration in machine learning and computer vision. The 'PureML' project indicates an interest in MLOps, which aligns with modern data science practices. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit. The diversity of technologies (Python, Go, Shell, Matlab, JavaScript, Ruby, Java) suggests a broad interest but also a potential lack of deep specialization in a single stack relevant to the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.