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Assessing your cultural and operational fit
Bitcoin-Price-Forecasting
October 24, 2024 – November 2, 2024
This project is an exploration of time series forecasting using cutting-edge deep learning models, including the N-BEATS architecture.
View ProjectPubMed-RCT-Sentence-Classifier
October 20, 2024 – October 20, 2024
This project replicates research from two key papers focused on sequential sentence classification in medical abstracts, utilizing the PubMed 200k RCT dataset.
View ProjectDisaster-No-Disaster
October 10, 2024 – October 10, 2024
This project uses Natural Language Processing (NLP) techniques to classify tweets or text data as either indicating a "disaster" or "no disaster".
View Projectconfig-files
September 3, 2024 – September 21, 2025
default config files for git, vim and neovim
View Projectnn-from-scratch
July 1, 2024 – July 1, 2024
A simple implementation of neural network from scratch only using numpy.
View Projectgpt-tokenization
February 23, 2024 – February 23, 2024
Tokenization is the process of breaking down text into smaller units, such as words, subwords, or characters, for analysis.
View ProjectSign-Language-Estimation
February 14, 2024 – November 8, 2024
Real-time sign language recognition using MediaPipe and TensorFlow LSTM model for gestures like "hello," "thank you," and "I love you."
View Projectscrappy-GPT
February 2, 2024 – July 1, 2024
An experimental bigram model for character level text generation trained on Shakespeare.
View ProjectHacktoberfest-2023-Contributions
October 1, 2023 – October 9, 2023
Official HUC repository for Hacktoberfest 2023
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in self-learning and exploration within data science. The diversity of projects, from NLP to time series forecasting and computer vision, indicates a broad curiosity. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and cultural fit in a professional setting. The 'Hacktoberfest-2023-Contributions' project suggests some engagement with open-source communities, which is a positive indicator.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.