• Collect, clean, pre process, and analyze structured and unstructured datasets. • Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights. • Develop and evaluate basic machine learning models. • Work with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. • Write SQL queries to extract and manipulate data. • Create reports, dashboards, and data visualizations. • Assist in feature engineering, model training, and performance evaluation. • Apply statistical techniques to solve business problems. • Collaborate with data analysts, data scientists, and development teams. • Document findings, methodologies, and project outcomes. • Support ongoing data science and analytics projects. Requirements • Python • SQL • Pandas • NumPy • Data Cleaning & Preprocessing • Exploratory Data Analysis (EDA)