58_ Ratul Samanta

St. Thomas College of Engineering & Technology 122

Kolkata, West Bengal, India

Since April 21, 2026

Skills

PyTorchJavaPythonMachine LearningSQLFront-endHTMLScikit LearnPandas, NumPy

Education

St. Thomas College of Engineering & Technology 122

B.Tech · Computer Science & Engineering

August 14, 2022 – July 29, 2026

Key Strengths

Strong academic background in Computer Science & Engineering with a high CGPA (8.75).
Relevant coursework in Artificial Intelligence & Machine Learning, Data Structures & Algorithms, and Database Management Systems directly supports a Machine Learning Engineer role.
Demonstrated practical application of Machine Learning concepts through a 'Stock Price Prediction using ML' project, utilizing Simple Linear Regression, RNN, and CNN(1D) models.
Proficiency in key ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, Matplotlib) and programming languages (Python, Java, C) essential for ML development.
Experience with data preprocessing, feature engineering, and model evaluation metrics (RMSE, MAE, R²) in the context of the ML project.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric assessment (score is 0) to evaluate cultural fit aspects such as logical reasoning, work attitude, stress handling, or team collaboration.

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 academic background in Computer Science & Engineering with a high CGPA (8.75).
Relevant coursework in Artificial Intelligence & Machine Learning, Data Structures & Algorithms, and Database Management Systems directly supports a Machine Learning Engineer role.
Demonstrated practical application of Machine Learning concepts through a 'Stock Price Prediction using ML' project, utilizing Simple Linear Regression, RNN, and CNN(1D) models.
Proficiency in key ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, Matplotlib) and programming languages (Python, Java, C) essential for ML development.
Experience with data preprocessing, feature engineering, and model evaluation metrics (RMSE, MAE, R²) in the context of the ML project.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric assessment (score is 0) to evaluate cultural fit aspects such as logical reasoning, work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit