Suvankar Paul

Raipur, india

Since July 16, 2025

Skills

AI EngineersPythonPower BI

Experience

Ybi Foundation

Business and Data Analytics

May 1, 2025 – July 1, 2025

Key Strengths

Strong academic foundation with an M.Tech in Data Science & AI and an M.Sc in Mathematics, providing a robust theoretical background.
Extensive hands-on project experience in core AI domains, including Natural Language Processing (RAG chatbots, sentiment analysis), Computer Vision (YOLO for object detection, transfer learning for classification), and Generative AI (LangChain, CrewAI).
Proficiency in key AI/ML frameworks and libraries such as TensorFlow, Keras, LangChain, CrewAI, YOLO, Pandas, and Numpy.
Demonstrated ability to build and evaluate machine learning models, with reported high accuracies in projects like sentiment analysis (90%) and fire classification (97.99% testing accuracy).
Relevant internship experience applying NLP and machine learning techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 49% (247/500) suggests potential areas for improvement in logical reasoning, work attitude, stress handling, and team collaboration. This indicates a moderate cultural fit, with specific aspects requiring further evaluation during interviews to ensure alignment with team dynamics and company values.

Soft Skills & Operational Fit

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong academic foundation with an M.Tech in Data Science & AI and an M.Sc in Mathematics, providing a robust theoretical background.
Extensive hands-on project experience in core AI domains, including Natural Language Processing (RAG chatbots, sentiment analysis), Computer Vision (YOLO for object detection, transfer learning for classification), and Generative AI (LangChain, CrewAI).
Proficiency in key AI/ML frameworks and libraries such as TensorFlow, Keras, LangChain, CrewAI, YOLO, Pandas, and Numpy.
Demonstrated ability to build and evaluate machine learning models, with reported high accuracies in projects like sentiment analysis (90%) and fire classification (97.99% testing accuracy).
Relevant internship experience applying NLP and machine learning techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit