Data science

Job description

Job description - Strong expertise in Python (NumPy, Pandas, Scikit-learn) - Hands-on experience with ML algorithms (Regression, Classification, Clustering) - Strong knowledge of Statistics & Probability - Experience in data preprocessing, feature engineering, and data analysis - Proven experience building end-to-end ML models (training, validation, deployment) - Strong proficiency in SQL and working with large datasets - Experience with model evaluation & tuning techniques - Exposure to Deep Learning (TensorFlow / PyTorch) for midsenior roles - Experience in at least one domain: - NLP / Time Series / Recommendation Systems - Basic understanding of ML model deployment (APIs / batch / real-time) - Familiarity with Cloud platforms (AWS / Azure / GCP)