Software Developer | Teamcenter Developer | C++ | SOA | ITK | AWC Customization | Java | Application Developer at Four Colors Technology | BVCOEW'24
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Duplicate-File-Remover---Java
June 22, 2024 – June 22, 2024
Developed a Java-based tool to detect and remove duplicate files within a selected folder. Employed file hashing techniques like MD5 and SHA-256 to accurately identify duplicate files. Provided user-friendly options for reviewing and removing duplicates, generating detailed reports of deleted files.
View ProjectFile-Packer-Unpacker-Java
June 22, 2024 – June 22, 2024
Developed a Java program that combines multiple files into one (packing) and restores them back to their original state (unpacking). Stored metadata and file contents together to manage files efficiently. Enabled platform-independent execution via Java, with simple command line instructions for compiling and running.
View ProjectCustomized-Virtual-File-System-in-Cpp
June 22, 2024 – June 22, 2024
Developed a virtual file system to emulate functionalities of traditional file systems on Windows NT or Linux distributions. Implemented core file system structures such as Inode, Inode Table, File Table, UAREA, Super Block, and more using C.
View ProjectEducational-and-Charity-Website
June 16, 2024 – June 16, 2024
Educational-and-Charity-Website — GitHub repository
View ProjectAccurate-Prediction-of-Sepsis-in-ICU-Patients
June 15, 2024 – June 15, 2024
Developed an early sepsis detection model using Random Forest and SOFA/qSOFA scores, & launched website to raise awareness & provide healthcare professionals access.
View ProjectChat-Application
May 21, 2022 – May 21, 2022
This repository contains all application programs.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, including several low-level system implementations (Virtual File System, File Packer/Unpacker) and general programming tasks (Chat Application, Duplicate File Remover). While the 'Accurate-Prediction-of-Sepsis-in-ICU-Patients' project directly aligns with the 'Data Scientist' target role, the overall diversity of projects suggests a broad interest in software development rather than a focused passion for data science. The lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative data science environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication styles in a team setting.