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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
Disaster-Tweet-Classification
June 5, 2021 – June 6, 2021
Disaster-Tweet-Classification — GitHub repository
View ProjectBERT-training-language-models-on-tpus-from-scratch.ipynb
July 27, 2020 – July 28, 2020
BERT-training-language-models-on-tpus-from-scratch.ipynb — GitHub repository
View ProjectBERT-Fine-Tuning-Sequence-Classification
July 22, 2020 – July 28, 2020
BERT implementation Using Pytorch for Sequence Classification
View ProjectUser-Classification---LSTM-
May 30, 2020 – July 22, 2020
User Classification on Twitter Data using LSTM
View ProjectReal-Time-Face-Expression-Recognition_py
April 26, 2020 – May 6, 2020
This repository contains the model to recognise face expressions trained using CNN and tensorflow.
View ProjectMachine-Learning
April 1, 2020 – April 15, 2020
This repository contains vaarious algorithms used in machine learning with their source code
View ProjectMachine-Learning-octave
March 27, 2020 – March 29, 2020
This Repository contains the solution to programming assignments of course "Machine Learning" by Stanford University on Coursera
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong personal drive and interest in machine learning and data science, aligning with a culture that values continuous learning and practical application. The diversity of projects, from NLP to computer vision, suggests adaptability and a broad interest in the field. However, without information on team projects or professional experience, assessing collaboration and broader cultural alignment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.