Data Analyst
• Utilized Python libraries such as Pandas, NumPy, and Scikit-learn to preprocess data, conduct feature engineering, and build machine learning models, enhancing the company's analytical capabilities.• Collaborated with the IT team to develop scalable and efficient data pipelines, leveraging Python's capabilities to handle large volumes of data and ensure smooth integration across various systems.• Collaborated with cross-functional teams to develop SQL queries and reports for decision-making processes, including ad-hoc requests. Significantly improved data accuracy by 25% and streamlined reporting processes.• Created dashboards to provide actionable data insights for technical and non-technical stakeholders.• Conducted basic statistical analysis and developed visualizations to identify trends and patterns in customer behavior.• Assisted with data governance and reporting processes to ensure data quality and compliance.