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advanced-journal-app
August 24, 2025 – August 24, 2025
A simple Django application to create, update, delete, and search journal entries. The app integrates with Qdrant Vector Database for semantic search functionality.
View Projectxai-medical-imaging
June 17, 2024 – July 11, 2024
ResNet50 is fine-tuned for Pneumonia Chest Xray Classification task
View ProjectMongoDB-data-wrangling
November 7, 2023 – November 9, 2023
This project focuses on using MongoDB to analyze a dataset of student summaries. The dataset comprises approximately 24,000 summaries written by students in grades 3-12, covering various topics and genres. The goal of this project is to predict content and wording scores for these summaries on previously unseen topics.
View Projectair-quality-heatmap
November 19, 2022 – November 19, 2022
A research project based on quality of air around cities at different time and condition. Using a heatmap the severity and the spread of the air pollution can be demonstrated.
View ProjectProjectOne
August 4, 2020 – July 29, 2023
The project is to build a neural network from scratch. The motivation for this project is from nnfs.io a website build by @Sentdex. Nnfs.io is actually meant for a book that teaches the fundamentals of neural network and help us to build our own network. Let's build a new neural network where we can learn the fundamentals and make a great hands-on work space for aspiring machine learning engineers and the GitHub community
View Projectuber-fare-prediction
July 21, 2020 – June 17, 2024
Basic regression model to predict the fare of the uber ride trained on top of Sklearn RandomForestRegressor model.
View Projectavira
March 31, 2018 – May 16, 2020
Project inspired from google assistant and Siri. this python code snippet will help to recognise the voice and execute those commands which are available in the source code. There are two files in the repo. Avira.py and Avira with remote feature. Avira is just for PC, the other one can be connected to android phone and can give command through phone.
View ProjectISS-Mark1
March 29, 2017 – May 4, 2017
An OpenGl project to create a 3-D model of the International Space Station for exploring in First-Person view
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in data science and machine learning. The diversity of projects, from basic regression to building neural networks from scratch and XAI research, indicates a proactive and self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The target role is Data Scientist, and the projects align well with the technical aspects of this role, demonstrating a foundational interest and some practical application.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.