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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
QuestionAnsweringChatBOT
June 14, 2021 – June 14, 2021
Chatter bot created using huggingface's BertForQuestionAnswering class
View ProjectTweetClassification
June 3, 2021 – June 3, 2021
Tweet Classification Project completed using Scikit Learn(Pipline using Tfid Vectorizer and Support Vector Module's SVM,Naive bayes's Multinomial NB model, Logistic Regression model )
View ProjectIris_classification_RNN
June 3, 2021 – June 3, 2021
Iris classification using concepts of SciKit Learn , ReLu(Rectificed Linear Unit),Concept of scaling using MinMaxScaler and simultaneously using concepts of Hot encoding along with Keras library's Sequential model , Dense layer and categorical crossentropy
View Projectchatbot_endtoendnw
June 3, 2021 – June 3, 2021
Chat bot based on the paper end to end memory network
View Projectsentimentanalysis_Vader
May 28, 2021 – May 28, 2021
Sentiment Analysis conducted using NLTK's VADER algorithm
View ProjectSentimentclassification
December 14, 2020 – December 14, 2020
Sentimentclassification — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on Python-based Machine Learning/NLP tasks. While this shows initiative, the lack of diverse project types (e.g., web development, system design, distributed systems) or team-based work makes it difficult to assess cultural fit beyond a strong interest in ML. The target role 'Software Engineer' is broad, and the candidate's current profile aligns more specifically with an ML Engineer or Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without detailing collaborative efforts, problem-solving approaches, or communication styles.