Data Analytics • Collecting, cleaning, and transforming large datasets • Performing exploratory data analysis (EDA) and visualization • Identifying business patterns, trends, and anomalies • Building dashboards and reports using tools like Power BI and Python Data Science • Creating predictive and forecasting models (regression, classification, time series) • Applying statistical techniques and hypothesis testing • Feature engineering and model optimization • Working with real-world datasets to solve practical business challenges Artificial Intelligence & Machine Learning • Developing machine learning pipelines in Python (Scikit-learn, TensorFlow, PyTorch) • Building AI models for image recognition, NLP, and automation tasks • Integrating AI models with applications through APIs • Designing intelligent systems that learn and improve over time…Data Analytics • Collecting, cleaning, and transforming large datasets • Performing exploratory data analysis (EDA) and visualization • Identifying business patterns, trends, and anomalies • Building dashboards and reports using tools like Power BI and Python Data Science • Creating predictive and forecasting models (regression, classification, time series) • Applying statistical techniques and hypothesis testing • Feature engineering and model optimization • Working with real-world datasets to solve practical business challenges Artificial Intelligence & Machine Learning • Developing machine learning pipelines in Python (Scikit-learn, TensorFlow, PyTorch) • Building AI models for image recognition, NLP, and automation tasks • Integrating AI models with applications through APIs • Designing intelligent systems that learn and improve over timeWWWW…