Prajjwal Sahu

Python / SQL – CrateDB Intern

https://www.opentalent.in/prajjwal-sahu

IndiaMember since December 23, 2025

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

The candidate's resume indicates a strong analytical mindset, a passion for problem-solving, and a data-driven approach. Experience assisting teams, collaborating with developers, and supporting brainstorming sessions suggests a proactive and team-oriented work attitude. However, the psychometric test score of 0 indicates a significant concern regarding work attitude, stress handling, and team collaboration, which contradicts the resume's portrayal. This discrepancy requires further investigation.

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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