Soumya Ranjan Purohit

Java Intern

https://www.opentalent.in/soumya-ranjan-purohit

Brahmapur, indiaMember since September 24, 2025

Key Strengths

Demonstrated strong foundational skills in Python-based Data Science and Machine Learning, including exploratory data analysis (EDA), supervised/unsupervised model building, and basic neural networks with TensorFlow.
Practical experience with data preprocessing techniques (missing values, scaling, encoding) that improved model performance.
Completed multiple data science projects (Crop Recommendation, Credit Card Fraud Detection, Heart Disease Prediction) showcasing application of ML algorithms like Random Forest and Logistic Regression.
Strong academic record with a CGPA of 8.8 in Computer Science and Engineering.
Significant mismatch between demonstrated skills (primarily Data Science/Python) and the target role (Java Intern), with no practical Java experience shown in projects or internships.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a severe red flag, indicating a complete lack of alignment with expected cultural and behavioral attributes. This score suggests a high risk for poor cultural integration and team dynamics.

Soft Skills & Operational Fit

The psychometric test score of 0 indicates a critical concern regarding logical reasoning, work attitude, stress handling, and team collaboration. This score suggests a poor operational fit and raises significant questions about the candidate's readiness for a professional work environment.

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Experience

YBI Foundation

AI and Data Skills Intern

July 1, 2024 – Present

CSRBOX

Data Science Trainee

June 1, 2024 – July 1, 2024

Key Strengths

Demonstrated strong foundational skills in Python-based Data Science and Machine Learning, including exploratory data analysis (EDA), supervised/unsupervised model building, and basic neural networks with TensorFlow.
Practical experience with data preprocessing techniques (missing values, scaling, encoding) that improved model performance.
Completed multiple data science projects (Crop Recommendation, Credit Card Fraud Detection, Heart Disease Prediction) showcasing application of ML algorithms like Random Forest and Logistic Regression.
Strong academic record with a CGPA of 8.8 in Computer Science and Engineering.
Significant mismatch between demonstrated skills (primarily Data Science/Python) and the target role (Java Intern), with no practical Java experience shown in projects or internships.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit