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Azure_Data_Factory
February 13, 2025 – February 14, 2025
Azure_Data_Factory — GitHub repository
View ProjectProgramming-Questions
June 18, 2023 – July 9, 2023
This repository contains a list of important questions that might be asked in TCS NQT exam.
View ProjectDL_project_Plant_Disease_prediction
March 28, 2023 – April 29, 2023
The project aims to develop a system that can accurately identify various diseases in plants using machine learning algorithms. The project aims to provide a tool that can help farmers and plant pathologists quickly identify and treat plant diseases, leading to higher crop yields and better food security.
View ProjectAdv_AS_using_Computer_Vision
September 8, 2022 – December 22, 2022
The primary goal of this project is to build a face recognition-based attendance monitoring system for students attending college, college staff and employees working in an organization in order to improve and upgrade the current attendance system to make it more efficient and effective than before
View ProjectForecasting_Crude_oil_Prices
July 19, 2022 – July 3, 2023
In this project I have used Forecasting techniques(ML and DL) to forecast Oil prices in future. This will be very useful to study or invest in oil related companies.
View ProjectCo2_emmission_updated
June 15, 2022 – April 29, 2023
The CO2 Emission Prediction project is a machine learning-based solution that aims to predict the CO2 emissions of a car based on various features such as engine size, fuel consumption, and transmission type.
View ProjectKMeans_PROJECTS
January 10, 2022 – January 10, 2022
In this repository you will find all my Kmeans projects.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration in Data Science. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The project diversity aligns with a Data Scientist role, but the depth of engagement and real-world application is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available, and project descriptions do not provide insights into collaboration or problem-solving approaches.