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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
code-daily
February 19, 2019 – February 19, 2019
Solutions for all daily coding problems starting 19th Feb
View Projecttesting_markdown
October 19, 2018 – October 19, 2018
testing_markdown — GitHub repository
View ProjectNLP-Invoice-regex-pipeline
August 9, 2018 – August 9, 2018
NLP-Invoice-regex-pipeline — GitHub repository
View ProjectNLP-Invoice2data_pipeline
August 9, 2018 – August 9, 2018
NLP-Invoice2data_pipeline — GitHub repository
View ProjectSabre_Forecasting_UseCase
July 4, 2018 – July 4, 2018
Sabre_Forecasting_UseCase — GitHub repository
View ProjectQuality_Image_Threshold
May 16, 2018 – May 16, 2018
Check Quality of the image ( pre-processing task automated)
View ProjectEntityDetection_API_Comparison
May 15, 2018 – May 15, 2018
This cod will compare two API's: Google's Vision API and Amazon's Rekognition API with Faster RCNN model implementation
View ProjectProject-EroNkan
April 27, 2017 – May 1, 2017
Problem statement by Sharath (Round 2 of selection)
View ProjectCultural Fit Analysis
The candidate's project list indicates a strong inclination towards personal learning and exploration across various technical domains, including NLP, image processing, and data analytics. This suggests a self-starter who is curious and driven to learn new technologies. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists personal technical projects without details on team collaboration, problem-solving approaches, or communication in a professional setting.