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Assessing your cultural and operational fit
Whats-App-Chat-Analyzer
August 25, 2024 – September 11, 2025
Whats-App-Chat-Analyzer — GitHub repository
View ProjectGradio_Img_Generator
July 7, 2024 – July 7, 2024
Gradio_Img_Generator — GitHub repository
View ProjectHirademy_task
June 19, 2024 – June 19, 2024
This repository contains a basic Express server with a MongoDB backend using Mongoose for data modeling. It includes RESTful API endpoints to create, read, update, and delete assistant records, with schema validation and error handling for robust data management.
View ProjectBert-qa-app
June 16, 2024 – June 16, 2024
This repository contains a FastAPI project implementing a question-answering bot using the BERT model from Hugging Face. It leverages a pre-trained BERT model fine-tuned on the SQuAD dataset to provide answers based on a given context. The project includes a Dockerfile for easy containerization and deployment.
View ProjectNutrify_WebApp
June 15, 2024 – June 15, 2024
Developed a comprehensive nutrition tracking application with a robust backend built using Express.js and MongoDB. Implemented user authentication, food tracking, and search functionality with JWT-based authentication and bcrypt for secure password handling. The front-end, offers an intuitive and appealing interface for seamless dietary management
View ProjectNLP_textMetrics
June 11, 2024 – June 11, 2024
TextMetrics Analyzer evaluates and scores linguistic features of text, analyzing sentiment, readability, and complexity by identifying positive/negative words, personal pronouns, and complex words. It provides deep insights into text characteristics, aiding in content analysis.
View ProjectWhatsAppAutomate
May 9, 2024 – May 9, 2024
WhatsApp AutoMessenger is your personal assistant for sending timely WhatsApp messages, ensuring your greetings and reminders reach your recipients precisely when they matter most.
View Projectautomated_email_sender
May 7, 2024 – May 7, 2024
"This Python script simplifies bulk email sending for internship/job applications or certificate distribution. With customizable email templates and easy attachment of resumes or certificates, it's a one-stop solution for reaching multiple recipients efficiently."
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in exploring various technologies, particularly within Python and data science. The diversity of projects, from automation to machine learning and web development, suggests a curious and adaptable individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The projects align with a data scientist role, especially those involving NLP and general ML.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects.