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Learning is a never ending process. Even for RNNs.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
wipro_sagemaker_samples
July 25, 2019 – July 25, 2019
Sample code for running wipro products in Amazon AWS marketplace.
View Projectbase_64_encoder_examples
September 20, 2018 – September 20, 2018
Java and python code examples of using base64 encoding/decoding
View Projectscript_generator
September 8, 2018 – September 19, 2018
Generate TV scripts using LSTM with tensorflow
View Projectdog_breed_classifier
September 1, 2018 – September 19, 2018
Classify the breed of a dog in a given image
View Projectkannotator
June 4, 2018 – September 19, 2018
Kannotator makes it easier for tagging data for NER training
View Projectquestion_classification
December 22, 2017 – December 22, 2017
Classify a given question into who,what,when,affirmation
View Projectkickstarter
November 9, 2017 – November 9, 2017
Finding successfull projects on Kickstarter Data
View Projecttext_classification
October 14, 2017 – October 16, 2017
Implementation of text classification using 1d CNNs
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate an individual drive to explore various data science and machine learning topics. The diversity of projects (text classification, image classification, script generation, NER tagging) indicates a broad interest in the field. However, without team-based projects or work experience, assessing collaboration and cultural alignment is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.