58_ Ratul Samanta

Machine Learning Engineer

https://www.opentalent.in/58-ratul-samanta

St. Thomas College of Engineering & Technology 122

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

Insufficient data from psychometric and English assessments (scores are 0) to evaluate soft skills, work attitude, stress handling, or team collaboration. The career objective indicates a desire to learn and contribute.

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

58_ Ratul Samanta

Key Strengths

Cultural & Operational Fit

Skills

Education

Key Strengths

Cultural & Operational Fit