MS Data Science, University of Pennsylvania. B.Tech Computer Science and Engineering, Vellore Institute of Technology
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Assessing your cultural and operational fit
Investment-Factor-Analysis-Application
February 25, 2026 – Present
This repository is for the Project component of CIS5500 'Database & Information Systems' for Spring Semester 2026-23 at the University of Pennsylvania
View ProjectPrecision-Strike
June 24, 2024 – July 9, 2024
This repository is for the Embedded Project (EPJ) component of CSE4015 'Human Computer Interaction' for Fall Semester 2023-24 at Vellore Institute of Technology
View ProjectMedical-Application-for-Leukemic-Patients
June 24, 2024 – June 25, 2024
This repository is for the Embedded Project (EPJ) component of CSE4019 'Image Processing' for Winter Semester 2022-23 at Vellore Institute of Technology
View ProjectLocal-Stocks
June 17, 2024 – July 3, 2024
This repository is for the Embedded Project (EPJ) component of MGT1022 'Lean Startup Management' for Winter Semester 2022-23 at Vellore Institute of Technology
View ProjectFacial-recognition-based-idAM-for-File-Hiding
June 13, 2024 – July 9, 2024
This repository is for the Embedded Project (EPJ) component of CSE3502 'Information Processing Management' for Winter Semester 2022-23 at Vellore Institute of Technology
View ProjectAdventure-Works
February 2, 2024 – February 2, 2024
This repository is for the Embedded Project (EPJ) component of CSE3020 'Data Visualization' for Fall Semester 2023-24 at Vellore Institute of Technology
View ProjectAlgorithmic-Trading-Indicator-using-Long-Short-Term-Memory
April 22, 2022 – October 25, 2022
This repository is for the project of CSE4020 'Machine Learning' for Winter Semester 2021-22 at Vellore Institute of Technology
View ProjectAI-based-Medical-Specialist-Recommendation-System
August 26, 2021 – January 20, 2022
This repository is for the Embedded Project (EPJ) component of CSE3013 'Artificial Intelligence' for Fall Semester 2021-22 at Vellore Institute of Technology
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and personal, showing initiative in exploring various technical domains. However, the projects lack diversity in terms of team collaboration or real-world impact, which are crucial for cultural fit in a professional setting. The experience level is 0, suggesting a lack of professional work experience. The projects are heavily skewed towards academic assignments, which might indicate a learning-oriented individual but doesn't provide insight into adaptability or collaboration in a corporate environment. The target role is 'Data Scientist', and while many projects use Python and touch upon ML/AI, the depth and scale of these projects are not clearly indicative of senior-level cultural fit.
Soft Skills & Operational Fit
The provided data does not contain information to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed.