Sana Sultana

.Collect, clean, and preprocess data from databases, APIs, or files using SQL and Python (pandas), then perform exploratory data analysis (EDA) to spot trends, anomalies, and patterns. .Build statistical model and create visualization with tools like tableau or Matplotlib to communicate. .Develop, train, and optimize machine learning models (e.g., regression, clustering, neural networks) with scikit-learn or TensorFlow, then validate performance using metrics like accuracy or RMSE.