
CS grad.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NIT Delhi
Data Scientist
June 19, 2026 – Present
ShiftBase-SQL_to_NoSQL_Migrator
April 23, 2026 – Present
ShiftBase: SQL to NoSQL Migrator
View ProjectDistributed-Task-Scheduler
February 4, 2026 – Present
A modular and extensible CPU Scheduling Simulator implemented in C++.
View ProjectXtract-Recommendation_System
October 29, 2025 – Present
Xtract Research Paper Recommendation System
View ProjectTechcracy2023_WebpageDesign
October 10, 2023 – January 20, 2024
Official repository housing the codebase for Techcracy 2023
View ProjectCIVP_DataScience
September 9, 2023 – September 9, 2023
CIVP_DataScience — GitHub repository
View ProjectBharatIntern_Projects
August 26, 2023 – September 8, 2023
BharatIntern_Projects — GitHub repository
View ProjectGeoCarTrack
August 8, 2023 – August 15, 2023
Allows you to divide a geographical map into rectangles and track cars within specific time slots in those rectangles.
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of technologies, including web development (HTML, CSS, JavaScript), mobile development (Dart, Swift, Kotlin, Objective C), and some data-related projects (Python, Jupyter Notebook). This diversity indicates a willingness to explore different areas. However, the projects are all personal and lack detailed descriptions of impact or team involvement, making it difficult to assess cultural fit beyond a general interest in technology. The target role is 'Data Scientist', and while some projects align, others are quite disparate, suggesting a broad interest rather than a focused career path at this stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the single listed 'Data Scientist' role at NIT Delhi has a future start date, suggesting it's not current or completed. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.