
Data Science | Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Personal-Research-Assistant
August 30, 2024 – August 30, 2024
Conducting literature surveys is time-consuming for researchers and students who must sift through numerous academic papers. This project develops an application that streamlines the process, allowing users to search arXiv for relevant papers by keywords, authors, or topics, receive concise summaries, and interact with the content through Q&A.
View Projectspeaker-identification
October 6, 2018 – December 14, 2018
Identifying individual speakers from utterances in the wild
View ProjectYelp-Dataset-Challenge
March 20, 2018 – April 28, 2018
Yelp-Dataset-Challenge — GitHub repository
View Projectcourse-projects
October 28, 2017 – December 24, 2017
This repository contains projects those I have worked upon during my graduate studies
View ProjectTwitter-API-SentimentAnalysis-WordCloud-WordsFrequecy
December 17, 2015 – December 17, 2015
Function for sentiment analysis, wordcloud and word frequecy of tweets using twitteR, tm packages and concepts of NLP
View ProjectMovie-Recommendation-System
December 9, 2015 – December 15, 2015
movie recommender using movies rating data (MovieLens) from grouplens
View ProjectLinkedin-Web-Crawler
December 9, 2015 – December 15, 2015
Linkedin job page crawler to find job with desired designation
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong individual drive for learning and exploration in data science. However, there is no information regarding team collaboration or contributions to open-source projects, which are common indicators of cultural fit in a collaborative environment. The projects align well with a Data Scientist role, but the lack of professional experience or team-based projects limits the assessment of cultural fit beyond individual initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.