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ServiceNow
Data Scientist
June 12, 2026 – Present
expense-summary
October 1, 2025 – October 1, 2025
Personal project just for summarising all the expenses
View Projecttesting-unikraft
September 14, 2025 – December 1, 2025
testing-unikraft — GitHub repository
View Projecttesting-framework-uk-build
May 26, 2025 – September 27, 2025
This framework is able to configure, build, run and test the variety of Unikraft builds.
View ProjectStudent-Habits-vs-Academic-Performance
May 2, 2025 – May 3, 2025
Regression, classification, EDA, visualization, and ML practice
View ProjectPredict-Podcast-Listening-Time
April 21, 2025 – April 25, 2025
Task it to predict listening time of a podcast episode
View ProjectMLStudioAzure
May 26, 2024 – May 28, 2024
The MLStudio series aims to provide a comprehensive and practical approach to learning machine learning. Each notebook in this repository covers a specific topic or concept, accompanied by explanations, code examples, and exercises to reinforce your understanding.
View Projectcodyaan-sih
September 19, 2023 – December 14, 2023
Grievance Tracking System for efficient complaint submission, tracking, and resolution, promoting transparency and accountability.
View ProjectShort-Video-Content-Automation-SVCA
April 7, 2023 – August 12, 2024
SVCA is a pipeline for automatically generating and uploading short-form video content to YouTube based on trending topics.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong inclination towards self-learning and exploration in data science and automation. The diversity of projects, from ML tutorials to grievance tracking systems, indicates a broad interest. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative professional environment. The target role is Data Scientist, and the projects align well with this, but the experience level is listed as 0, which contradicts the current role at ServiceNow. This discrepancy needs clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there's no information on collaboration, problem-solving approaches, or communication style.