
Student
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scalaspark_content
December 3, 2025 – December 3, 2025
scalaspark_content — GitHub repository
View ProjectYoutube_Recommend_ETL
August 8, 2025 – September 17, 2025
This project demonstrates a complete end-to-end data pipeline using the ETL (Extract - Transform - Load) model for YouTube Trending Video data. The pipeline leverages big data tools like Apache Spark for processing, and serves use-cases such as fast video search and building a video recommendation system.
View Projectdisaster-response-pipeline
August 8, 2025 – August 8, 2025
build a model and a web application that classifies these messages into relevant categories, helping disaster relief agencies respond more efficiently.
View ProjectHRInsights-PowerBI
August 8, 2025 – August 8, 2025
This project presents a comprehensive HR Analytics Dashboard that visualizes key insights related to employee attrition across departments – Human Resources and Research & Development.
View ProjectAzure-SpringBoot
July 25, 2025 – September 23, 2025
Spring Boot CRUD application deployed on Azure App Service using GitHub Actions. Demonstrates CI/CD workflow, RESTful API, and cloud hosting integration
View Projectlibrary_management
May 10, 2024 – May 10, 2024
In this project, build REST APIs for a Library Management System Project using Spring Boot, Spring Data JPA (Hibernate), and MySQL database.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. However, the diversity of projects spans web development (Amazon-clone), backend services (library_management, Azure-SpringBoot), and data science, which might suggest a broad interest rather than a focused alignment with a senior Data Scientist role. The lack of team projects or professional experience makes it difficult to assess collaboration or cultural integration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.