Sakthi Aravind K

ML Engineer

https://www.opentalent.in/sakthi-aravind-k

Erode, Tamil Nadu, IndiaMember since May 13, 2026

Key Strengths

Proficiency in Python and SQL, foundational for ML engineering.
Experience with key ML libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and Keras.
Practical application of various machine learning algorithms such as Regression, Classification, Clustering, and Convolutional Neural Networks (CNNs).
Demonstrated ability to perform Exploratory Data Analysis (EDA), feature engineering, and data visualization.
Completed projects showcasing end-to-end ML workflows from data preparation to model evaluation, including a CNN project for image classification.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 provides no basis for evaluating cultural fit. Therefore, there is insufficient data to assess this aspect.

Soft Skills & Operational Fit

The psychometric test score of 0 indicates insufficient data to assess logical reasoning, work attitude, stress handling, or team collaboration. The candidate's profile summary mentions 'communicating them effectively to stakeholders,' but this is self-declared and unvalidated by assessment data.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Proficiency in Python and SQL, foundational for ML engineering.
Experience with key ML libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and Keras.
Practical application of various machine learning algorithms such as Regression, Classification, Clustering, and Convolutional Neural Networks (CNNs).
Demonstrated ability to perform Exploratory Data Analysis (EDA), feature engineering, and data visualization.
Completed projects showcasing end-to-end ML workflows from data preparation to model evaluation, including a CNN project for image classification.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 provides no basis for evaluating cultural fit. Therefore, there is insufficient data to assess this aspect.

Soft Skills & Operational Fit