1 Responsibilities: 1.1 Data Analysis: • Collect, clean, and pre-process structured and un-structured data from various sources. • Assist in generating insights using statistical analysis and visualization tools. • Develop reports to communicate findings to stakeholders. 1.2 Machine Learning: • Collaborate on machine learning projects, including model development, training, and evaluation. • Apply algorithms to extract patterns and insights from large datasets. • Fine-tune models to improve accuracy and performance. 1.3 Collaboration: • Work closely with cross-functional teams to understand project requirements and deliver results. • Participate in brainstorming sessions to identify innovative digital solutions. • Contribute to the documentation of project workflows, methodologies, and outcomes. 2 Requirements: 2.1 Educational Background: • Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Engineering, or a related field. 2.2 Technical Skills: • Proficiency in Python programming and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). • Solid understanding of data analytics techniques and tools (e.g., SQL, Excel, Power BI). • Familiarity with machine learning concepts, algorithms, and frameworks. • Basic knowledge of cloud platforms (e.g., AWS) is a plus.