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Assessing your cultural and operational fit
youtube-comment-analyzer
September 27, 2024 – February 26, 2025
Perform real-time sentiment analysis on live-streaming YouTube comments.
View Projectcicd
April 30, 2024 – May 14, 2024
Built e2e ci/cd pipeline with GitHub Actions, Docker, and hosted to Cloud [Render]
View Projectmlflow-pipeline
March 6, 2024 – May 7, 2024
Built an E2E MLFlow Pipeline & hosted on AWS.
View Projectcreditcard-dvc
January 8, 2024 – May 7, 2024
Implemented data versioning, model experimentation & CI using DVC, DVClive, and GitHub Action.
View ProjectIntelligent-Telegram-Chatbot-using-AI
December 7, 2021 – December 8, 2021
Built an Intelligent Telegram Chatbot using AI to detect Covid-19 from X-ray pictures.
View ProjectTomato-Leaf-Disease-Detection-DHL
December 3, 2021 – December 4, 2021
Here I am combining best of the both worlds, one is traditional Machine Learning and Deep Learning to create a hybrid model which classifies Tomato Leaf Diseases.
View ProjectCovid-19-Detection-using-Deep-Hybrid-Learning
December 2, 2021 – December 9, 2021
Image classification using XGBOOST by extracting features using VGG16 ImageNet. This project explains the process of using XGBOOST for image classification using pre-trained weights (VGG16) as feature extractors.
View ProjectPotato-Leaf-Disease-Classification-WebApp
November 15, 2021 – December 17, 2021
Built a Potato Leaf Disease Classifier web app using Streamlit and deployed it on Heroku. Internally, the model is built using a simple Convolutional Neural Network Architecture to classify potato leaf diseases.
View Projectwhatsapplib
October 28, 2021 – December 8, 2021
WhatsApp Group Chat Analysis Python Package.
View ProjectStock-Sentiment-Analysis
May 2, 2021 – May 2, 2021
Stock-Sentiment-Analysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on deep learning and machine learning applications. While demonstrating technical initiative, there is no information regarding collaborative work, team environments, or broader organizational contributions. This makes it difficult to assess cultural fit beyond individual technical contribution. The projects align well with a Data Scientist role, but the lack of diverse project types or team-based work limits the assessment of cultural adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an ability to complete technical tasks independently.