AWS | GCP | Python | K8s
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Expense-Sharing-Application-using-FastAPI
October 22, 2024 – October 27, 2024
This is a backend service for managing and sharing daily expenses between users. The application allows users to add expenses and split them in three different ways: equally, by exact amounts, or by percentage. It also manages user details, validates input, and generates a downloadable balance sheet.
View Projectchatpdf
October 20, 2024 – October 20, 2024
This project is a Document Retrieval application that utilizes Retrieval-Augmented Generation (RAG) techniques to enable users to interact with uploaded PDF documents. By leveraging a Large Language Model (LLM), users can ask questions about the content of the documents and receive accurate answers based on the information retrieved.
View ProjectKarpenter-on-Existing-EKS-Cluster
September 8, 2024 – September 8, 2024
This repository contains the code and configuration files for setting up Karpenter on an existing Amazon EKS cluster, as described in the blog post
View Projectmyblogproject
February 9, 2024 – February 19, 2024
A simple Django-based blogging GraphQL API developed using the Strawberry framework. It focuses on providing basic functionalities for a blogging platform, including creating posts and adding comments.
View Projectdjango_berry
February 7, 2024 – June 13, 2024
GraphQL API for managing a book database using Django and Strawberry GraphQL
View ProjectAI-Chatbot-for-IoT-Data
January 29, 2024 – September 8, 2024
This project deploys an AWS Lex V2 chatbot for analyzing IoT data stored in an S3 bucket. The infrastructure is defined using Terraform, and the project includes a Lambda function for chatbot fulfillment.
View ProjectCustomer-Churn-Prediction
March 24, 2023 – March 24, 2023
Customer-Churn-Prediction — GitHub repository
View ProjectRainfall-Prediction-end-to-end-ML-project
October 14, 2022 – September 28, 2024
The main motive of the project is to predict the amount of rainfall in Vidarbha region or state well in advance. We predict average rainfall using past data.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. However, the diversity of projects spans beyond a focused Data Scientist role (e.g., Django, GraphQL, Karpenter), which might suggest a broader interest rather than deep specialization in data science. The lack of team projects or contributions makes it difficult to assess collaboration or cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.