Anurag Kumar Srivastava

Java Intern

https://www.opentalent.in/anurag-kumar-srivastava

Bhubaneswar, indiaMember since September 11, 2025

Key Strengths

Demonstrated proficiency in Python, Machine Learning (Deep Learning, NLP, Scikit-learn, Pandas, NumPy, Matplotlib, SciPy), and web development (Node.js, React.js, Streamlit).
Strong project experience in developing end-to-end ML applications, including a Movie Recommendation System and a Multiple Diseases Prediction System.
Ability to independently manage projects, from data acquisition and preprocessing to model development, system architecture, front-end interface, and testing.
Solid understanding of data analysis, feature engineering, model evaluation metrics, and hyperparameter tuning.
Academic background in Computer Applications (MCA, BCA) with strong CGPA (8.10/10, 7.67/10).
However, there is a significant mismatch with the 'Java Intern' target role as the resume does not indicate any Java-specific skills or experience.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's summary highlights a desire to contribute to a company's mission, embrace new challenges, and work in a forward-thinking, collaborative team. The psychometric test score (66.2%) suggests a moderate alignment with typical professional work attitudes and team collaboration, indicating potential for growth in these areas.

Soft Skills & Operational Fit

The candidate demonstrates a 'passionate and detail-oriented' approach, eagerness to contribute, and an innovative mindset. Psychometric test results indicate moderate performance in logical reasoning, work attitude, stress handling, and team collaboration (66.2%). The candidate expresses a desire to thrive in collaborative environments and contribute to impactful projects.

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Assessing your cultural and operational fit

Key Strengths

Demonstrated proficiency in Python, Machine Learning (Deep Learning, NLP, Scikit-learn, Pandas, NumPy, Matplotlib, SciPy), and web development (Node.js, React.js, Streamlit).
Strong project experience in developing end-to-end ML applications, including a Movie Recommendation System and a Multiple Diseases Prediction System.
Ability to independently manage projects, from data acquisition and preprocessing to model development, system architecture, front-end interface, and testing.
Solid understanding of data analysis, feature engineering, model evaluation metrics, and hyperparameter tuning.
Academic background in Computer Applications (MCA, BCA) with strong CGPA (8.10/10, 7.67/10).
However, there is a significant mismatch with the 'Java Intern' target role as the resume does not indicate any Java-specific skills or experience.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit