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spring_unit_tests
February 29, 2024 – February 29, 2024
spring_unit_tests — GitHub repository
View Projectstud_management_system_spring
February 28, 2024 – February 28, 2024
stud_management_system_spring — GitHub repository
View ProjectCRIME_AWARENESS_PORTAL_USING_MERN_STACK
June 2, 2023 – June 2, 2023
Crime Awareness Portal is a web application developed using the MERN (MongoDB, Express.js, React.js, Node.js) stack. The portal allows users to report crimes by providing information such as location, time,and type of crime.The reported crimes can be verified by officers using their dedicated accounts.The portal also includes crime awareness videos
View ProjectCrop_Recommendation_Using_Machine_Learning
June 2, 2023 – June 2, 2023
We propose an Intelligent Crop Recommendation and Yield prediction system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. The Yield is predicted based on the parameters of area of land available, agricultural season and the past observations of yield .
View ProjectIOT_Based_Weather_Station_Using_NodeMCU
June 2, 2023 – June 2, 2023
The IoT Weather Station with NodeMCU ESP8266 is a project that demonstrates how to create a simple online weather station using the NodeMCU ESP8266 (Wemos D1) Wi-Fi development board. This project pulls weather data such as temperature, humidity, rain, and vibration and displays it on a local website connected to the NodeMCU.
View ProjectHybrid_Movie_Recommendation
April 29, 2023 – April 29, 2023
The Hybrid Movie Recommender is a system that recommends movies using a combination of collaborative and content-based filtering techniques. The system is designed to address the cold start problem(new users) by using a popularity based approach. The dataset used for the system is obtained from Kaggle.
View ProjectSecurityServicePortal
April 25, 2023 – April 25, 2023
Simple Security Service Portal that allow users to book guards for various events. Project built using Spring-boot MVC Framework. Leaveraging basic CRUD operations for most of the functionalities. Various Design Patterns have also been implemented.
View ProjectHospital_Management_System_Using_PHP_and_MYSQL
November 24, 2022 – June 5, 2023
Hospital Management System is a web application developed using PHP and MySQL. It provides functionalities for managing hospital operations, including patient appointments, doctor approvals, prescription and treatment management, billing, and more. The system is designed to be user-friendly and efficient in managing hospital processes.
View ProjectFood_Ordering_System_Using_PHP_and_MYSQL
October 3, 2022 – June 5, 2023
The Food Ordering System is a web application developed using MySQL and PHP. It provides a platform for users to login, register, and add dishes to a cart with the desired quantity. The system also incorporates an online payment gateway to enhance user convenience. Admin users have additional privileges to verify orders, dispatch food.
View ProjectBrain_Stroke_Prediction_Using_Machine_Learning
September 28, 2022 – May 11, 2023
Stroke is a disease that affects the arteries leading to and within the brain. A stroke occurs when a blood vessel that carries oxygen and nutrients to the brain is either blocked by a clot or ruptures. According to the WHO, stroke is the 2nd leading cause of death worldwide. Globally, 3% of the population are affected by subarachnoid hemorrhage, 10% with intracerebral hemorrhage, and the majority of 87% with ischemic stroke. 80% of the time these strokes can be prevented, so putting in place proper education on the signs of stroke is very important. The existing research is limited in predicting risk factors pertained to various types of strokes. Early detection of stroke is a crucial step for efficient treatment and ML can be of great value in this process. To be able to do that, Machine Learning (ML) is an ultimate technology which can help health professionals make clinical decisions and predictions. During the past few decades, several studies were conducted on the improvement of
View ProjectCultural Fit Analysis
The candidate has a diverse project portfolio, including web development, IoT, and machine learning. While this shows breadth, the majority of projects are not directly aligned with a senior Data Scientist role, which might indicate a broader interest rather than deep specialization. The projects are personal, which is common for an experience level of 0, but doesn't provide insight into collaborative work environments. The target role is Data Scientist, and while there are relevant ML projects, the overall portfolio suggests a generalist profile rather than a focused data science expert.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse projects, suggesting adaptability. However, without specific psychometric test results or interview data, it's difficult to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.