Overview
Strong hands-on expertise in Python (pandas, NumPy, sklearn, TensorFlow, PyTorch) or R
Deep understanding of ML algorithms, statistical modeling, data mining
Experience with data visualization (Power BI, Tableau, Matplotlib, Seaborn)
Solid proficiency in SQL, data pipelines (Airflow, Spark, etc.)
Experience with Cloud ML Platforms – AWS SageMaker, Azure ML, Google AI
Excellent analytical thinking, leadership, and problem-solving skills
🔹 Good to Have
Deep Learning, NLP, Time Series Analytics
MLOps & CI/CD for end-to-end ML deployment
DS/ML certifications or a strong project portfolio
Knowledge of Prompt Engineering, RAG, Agentic AI
🎓 Educational Qualification
Bachelor’s / Master’s / PhD in Data Science, Computer Science, or related domains.