Hi, I am Debarghya Sikder, a BTech Computer Science student. I am from Kolkata and enthusiastic about Java Development and Machine Learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
egov-grievance-frontend-deployed
January 7, 2026 – Present
egov-grievance-frontend-deployed — GitHub repository
View Projectgrievance-config-repo
December 29, 2025 – Present
grievance-config-repo — GitHub repository
View ProjectEGov-Grievance-frontend
December 29, 2025 – Present
This repo has the frontend part of the E-Governance Grievance Addressal system project.
View ProjectEGov-Grievance-backend
December 29, 2025 – Present
This repo has the backend (all the microservices used).
View Projecthdfc-retail-banking
October 16, 2025 – October 31, 2025
It is used for retail banking code
View ProjectMedical-Insurance-Tracker
May 16, 2025 – August 18, 2025
Medical-Insurance-Tracker — GitHub repository
View ProjectCalories-Burnt-Tracker
January 26, 2025 – January 26, 2025
This project is a machine learning-based fitness tracker designed to predict the number of calories burnt during physical activities. By analyzing key input features like age, gender, height, weight, heart rate, and duration of exercise, the model provides accurate calorie burn estimations.
View ProjectLibrary-Management-System
January 26, 2025 – January 26, 2025
Designed and developed a robust Library Management System using Java whose features include user authentication, book inventory management, issue and return tracking, and detailed reporting. The system ensures efficient management of library operations and provides a user-friendly interface for both administrators and users.
View ProjectFifaWorldCupPrediction
November 2, 2024 – November 2, 2024
The Fifa World Cup is the most watched and the most popular tournament among football lovers. I have predicted the most probable winner of the 2026 Fifa World Cup winner considering all the head to head matched played between different countries since 1990.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from data science and machine learning to full-stack development (Java, HTML, TypeScript). This breadth suggests adaptability and a willingness to explore different technical domains. However, the projects are primarily personal and lack detailed descriptions of collaboration or team dynamics, making it difficult to fully assess cultural fit. The target role is 'Data Scientist', and while several projects align with this, the presence of multiple non-data science projects indicates a broad, rather than deeply specialized, focus at this stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available for evaluation.