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Computer Science Undergrad at Delhi Technological University
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Assessing your cultural and operational fit
Delhi Technological University
Data Scientist
June 16, 2026 – Present
Project-Image-Captioning
April 17, 2020 – April 17, 2020
Trained a Deep learning models consisting of LSTM, Convolutional Neural Net and Recurrent Neural Net which can generate caption for a given input Image.
View ProjectEmoji_Predictor
April 16, 2020 – April 19, 2020
Emoji usage has become a new form of social communication, which is important because it can help to improve communication systems, such as chat applications. In this project we provide our model with some sentences which then predicts the emoji most associated with it.
View ProjectLyrics---Generator
April 14, 2020 – April 19, 2020
Generates new text Text/Lyrics/Story using Markov Chain for Text Generation(NLP)
View ProjectIMDB-Sentiment-Analysis
April 12, 2020 – April 12, 2020
IMDB-Sentiment-Analysis — GitHub repository
View ProjectImage-Segmentation
April 10, 2020 – April 19, 2020
In this project we are given an Image and we can then extract K most dominant colors from it.
View ProjectDecision-Trees-on-Titanic-Dataset
April 9, 2020 – April 9, 2020
Decision-Trees-on-Titanic-Dataset — GitHub repository
View ProjectNaive-Bayes-Classifier-
April 8, 2020 – April 8, 2020
Naive-Bayes-Classifier- — GitHub repository
View ProjectMultivariate-Regression
April 6, 2020 – April 6, 2020
Multivariate-Regression — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic/personal and focused on core data science algorithms, indicating a strong interest in the technical aspects of the role. However, the lack of team projects or diverse industry applications makes it difficult to fully assess cultural fit beyond technical alignment. The single listed experience as 'Data Scientist' at a university, with a future start date, provides limited insight into real-world collaboration or problem-solving in a professional team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.