Prajjwal Sahu

India

Since December 23, 2025

Skills

PythonAI EngineersPower BIFront-end

Key Strengths

Strong foundational knowledge in Python, SQL, statistics, and core AI/ML concepts, directly relevant to the target role.
Demonstrated experience with key ML libraries and tools including NumPy, Pandas, Scikit-learn, TensorFlow, and Matplotlib.
Practical experience in data preprocessing, feature engineering, and exploratory data analysis.
Project experience in building a Movie Recommendation System and a Privacy-Preserving RAG-Based Document Assistant, showcasing application of ML/AI concepts.
Familiarity with modern AI/ML concepts like LLMs, RAG, Prompt Engineering, and vector databases (ChromaDB/FAISS).
Exposure to data visualization tools like Power BI and Tableau, and MLOps concepts (Docker, ML Flow, Git).

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical concern, indicating a complete lack of performance in areas such as logical reasoning, work attitude, stress handling, and team collaboration. This score strongly suggests a poor cultural fit and potential operational challenges, despite the resume's claims of collaboration and analytical thinking. Without further data, this score is a major red flag.

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 knowledge in Python, SQL, statistics, and core AI/ML concepts, directly relevant to the target role.
Demonstrated experience with key ML libraries and tools including NumPy, Pandas, Scikit-learn, TensorFlow, and Matplotlib.
Practical experience in data preprocessing, feature engineering, and exploratory data analysis.
Project experience in building a Movie Recommendation System and a Privacy-Preserving RAG-Based Document Assistant, showcasing application of ML/AI concepts.
Familiarity with modern AI/ML concepts like LLMs, RAG, Prompt Engineering, and vector databases (ChromaDB/FAISS).
Exposure to data visualization tools like Power BI and Tableau, and MLOps concepts (Docker, ML Flow, Git).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit