Data science

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)