Shubhranshu Sekhar Panda

IEEE VSSUT Student Branch, VSSUT

Rourkela, india

Since September 25, 2025

Skills

FigmaGit-GitHubPythonHTML5Mysql

Experience

IEEE VSSUT Student Branch, VSSUT

Coordinator

August 1, 2024 – August 1, 2025

Burla, India

National Institute of Technology(NIT)

Research Intern

May 1, 2024 – July 1, 2024

Rourkela, India

IEEE VSSUT Student Branch, VSSUT

Chair

May 1, 2024 – April 1, 2025

Burla, India

IEEE VSSUT Student Branch, VSSUT

Student Member

June 1, 2023 – Present

Burla, India

Idea Innovation Cell, VSSUT

Core Member

April 1, 2023 – Present

Burla, India

Key Strengths

Strong foundational Python skills demonstrated through the 'Real-time Fake News Detection' project, including experience with Streamlit and machine learning libraries.
Demonstrated ability to work with large datasets, feature engineering (TF-IDF), and model deployment (Streamlit Cloud, Git LFS).
Good academic standing (CGPA 7.84) and an 'Elite' certification in Machine Learning for Engineering and Science Applications (71%).
Proactive involvement in student organizations (IEEE, Idea Innovation Cell) showcasing leadership potential and initiative.
Algorithmic thinking and problem-solving skills evidenced by the RSA algorithm implementation and Dijkstra's algorithm application.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 50.6% raises concerns regarding aspects of cultural fit, specifically logical reasoning, work attitude, stress handling, and team collaboration. Conversely, the candidate's active participation and leadership in student bodies suggest a willingness to engage and contribute to a community, which could be a positive aspect. This dichotomy requires further exploration.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational Python skills demonstrated through the 'Real-time Fake News Detection' project, including experience with Streamlit and machine learning libraries.
Demonstrated ability to work with large datasets, feature engineering (TF-IDF), and model deployment (Streamlit Cloud, Git LFS).
Good academic standing (CGPA 7.84) and an 'Elite' certification in Machine Learning for Engineering and Science Applications (71%).
Proactive involvement in student organizations (IEEE, Idea Innovation Cell) showcasing leadership potential and initiative.
Algorithmic thinking and problem-solving skills evidenced by the RSA algorithm implementation and Dijkstra's algorithm application.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit