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Assessing your cultural and operational fit
wordcloud_occupations
May 18, 2022 – May 18, 2022
Word Cloud built on Occupations of 33K people in NLP-Python
View ProjectTwitterClone
November 15, 2020 – January 14, 2021
Twitter Clone with Django REST and AngularJS
View ProjectREST-API-CRUD-Ops
July 24, 2018 – August 18, 2018
RESTful API build in Flask and MySQL that interacts with the Database to perform CRUD operations
View ProjectImprove-Python-Coding
April 13, 2017 – June 12, 2017
Collection of Python code snippets that can be adopted in order to write improved/simplified python code.
View ProjectQuestion-Classifier
March 4, 2017 – March 28, 2017
Classifies questions into various categories - Machine Learning and NLTK
View ProjectStance
January 17, 2017 – August 8, 2018
Opinion Mining - Product Review Classification with Machine Learning and NLTK
View ProjectNLTK-know-how
January 2, 2017 – January 4, 2017
NLTK libraries and Machine Learning Algorithms in use.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and a diverse interest in various technical domains, from web development to machine learning and web scraping. This indicates a proactive and curious individual. The projects include both backend (Python, Django, Flask, REST APIs) and some frontend (HTML, JavaScript, JQuery, AngularJS) elements, suggesting adaptability. However, the primary focus of most projects leans towards backend/data science with Python, which might require a stronger emphasis on dedicated frontend skills for a pure Frontend Developer role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, indicating a direct communication style. No information on teamwork or problem-solving approaches is available.