P Soumya Sundar Subudhi

Brahmapur, Odisha, India

Since November 20, 2025

Skills

PythonGit-GitHubReact.jsAI EngineersTeam Collaboration

Experience

PMEC

Summer Intern

June 1, 2024 – July 1, 2024

Berhampur, Odisha

Key Strengths

Strong foundational Python programming skills, demonstrated through multiple Machine Learning projects.
Proficiency in Machine Learning and Deep Learning frameworks including TensorFlow, Scikit-Learn, and LightFM.
Proven ability to develop, train, and optimize ML models (CNNs, Recommendation Systems) with quantifiable results (e.g., 91.5% accuracy, 0.92 AUC, 18% Precision@10 increase).
Experience in handling and processing datasets for ML applications, including image and user rating data.
Demonstrated soft skills in project leadership, coordination, and collaborative teamwork, as evidenced by roles as Coordinator and Session Manager.
Good academic background in Computer Science, providing a solid theoretical base.
Match to role: Strong alignment with the Python and general Machine Learning aspects of the target role. However, there is a significant gap in explicit SQL and CrateDB experience.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 64% indicates an average alignment with desired traits such as logical reasoning, work attitude, stress handling, and team collaboration. While not poor, it suggests the candidate may require some guidance or development in these areas to fully integrate into a high-performing team culture.

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 programming skills, demonstrated through multiple Machine Learning projects.
Proficiency in Machine Learning and Deep Learning frameworks including TensorFlow, Scikit-Learn, and LightFM.
Proven ability to develop, train, and optimize ML models (CNNs, Recommendation Systems) with quantifiable results (e.g., 91.5% accuracy, 0.92 AUC, 18% Precision@10 increase).
Experience in handling and processing datasets for ML applications, including image and user rating data.
Demonstrated soft skills in project leadership, coordination, and collaborative teamwork, as evidenced by roles as Coordinator and Session Manager.
Good academic background in Computer Science, providing a solid theoretical base.
Match to role: Strong alignment with the Python and general Machine Learning aspects of the target role. However, there is a significant gap in explicit SQL and CrateDB experience.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit