
Data Scientist, Machine Learning & NLP Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Credicxo_intern_project
November 28, 2020 – November 28, 2020
Credicxo_intern_project — GitHub repository
View ProjectVikasSingh-DS.github.io
October 23, 2020 – October 29, 2020
creating a portfolio website.
View ProjectMechanisms-of-Action-Prediction-Kaggle
October 14, 2020 – October 16, 2020
Mechanisms-of-Action-Prediction-Kaggle — GitHub repository
View ProjectHyperparameter-Optimization
July 23, 2020 – July 24, 2020
Hyperparameter-Optimization — GitHub repository
View ProjectQuestion-Answering-Engine
July 6, 2020 – July 6, 2020
Question-Answering-Engine — GitHub repository
View ProjectClickbait-News-Detector-With-XLNet-PyTorch-Inference
June 17, 2020 – June 30, 2020
The project goal is to the classification of clickbait news and non-clickbait news. I have a fine-tune SOTA XLNet model for classification. I have used the amazing Transformers library by Hugging Face with PyTorch.
View ProjectToxic-comment-detector
May 17, 2020 – May 8, 2021
Online Toxic Comment Detector web application: https://toxic-comment-detector.herokuapp.com/
View ProjectMovies-Reviews-Bert-Sentiment-Flask-API
April 19, 2020 – May 25, 2020
Fine-tune BERT for sentiment analysis. I have done text preprocessing (special tokens, padding, and attention masks) and build a Sentiment Classifier using the amazing Transformers library by Hugging Face! I have train my model on kaggle notebook on gpu. The model give the accuracy of 95.14% on validation dataset.
View ProjectData-Analysis-and-Visualization
April 2, 2020 – June 15, 2020
This repository contains the data analysis and visualization projects on various datasets.
View Projectkaggle-Traffic-Congestion-Prediction
November 11, 2019 – November 11, 2019
In this project, I am trying to predict traffic congestion, based on an aggregate measure of stopping distance and waiting times, at intersections in 4 major US cities: Atlanta, Boston, Chicago & Philadelphia.
View ProjectCultural Fit Analysis
The candidate's portfolio shows a strong focus on personal projects, indicating self-motivation and a passion for data science. The diversity of NLP and ML projects suggests an eagerness to explore different problem domains. However, without information on team projects or professional experience, it's difficult to fully assess cultural fit regarding collaboration and workplace dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insights into collaboration, problem-solving approaches, or communication style in a team setting.