SSE @SurveyMonkey | Founder of Rocket | Python | JavaScript | Go
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SurveyMonkey
Data Scientist
June 19, 2026 – Present
hocrox
November 12, 2021 – March 17, 2022
Hocrox: An image preprocessing and augmentation library with Keras like interface.
View Projecthttp-status-codes
May 8, 2021 – January 7, 2023
Contains properly documented HTTP status code enums, reason phrases and helpers as defined in RFC
View ProjectPreprocessed-TREC-2007-Public-Corpus-Dataset
March 24, 2021 – March 24, 2021
Preprocessed and easy to use TREC 2007 Public Corpus Dataset
View ProjectNeuralPy
May 3, 2020 – Present
NeuralPy: A Keras like deep learning library works on top of PyTorch
View ProjectAmazonReview-LanguageGenerationDataset
August 21, 2019 – September 7, 2019
Processed Amazon Review Dataset for Language Generation (Character Level)
View ProjectGeneratingTextWithLSTM
August 6, 2019 – March 28, 2020
The aim of this project is to generate text using LSTM Recurrent Neural Networks. LSTM Recurrent Neural Networks are powerful Deep Learning models that are used for learning sequenced data. Here a LSTM model is trained on 200 million samples, and the idea is that after training on 200 million samples, it should be able to generate text.
View ProjectRatePrediction
March 22, 2019 – November 21, 2022
Rate Prediction using Amazon Review Dataset and Deep Learning
View Projectprocessed-imdb-wiki-dataset
January 12, 2019 – March 14, 2019
Processes IMDB WIKI dataset ready to be used in any projects
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on deep learning and natural language processing, which aligns well with a data scientist role. The diversity of personal projects (library development, dataset processing, text generation, rate prediction) indicates a broad interest within the data science domain. However, the lack of team-based projects or contributions to open-source projects beyond personal initiatives makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's numerous personal projects suggest strong self-motivation, problem-solving abilities, and a passion for the field. However, without psychometric test results or interview data, it's difficult to assess stress handling, teamwork, or communication clarity in a professional setting.