Python Developer
CurrentAs a Python Developer, I contributed to the development of scalable web applications using frameworks such as Django and Flask, with a focus on enhancing performance through code optimization and the implementation of efficient algorithms. I designed and consumed RESTful APIs to facilitate seamless data exchange between client-side and server-side applications, ensuring robust integration with external services.My role also involved implementing automated testing frameworks in Python to boost test coverage and software reliability. I managed version control using Git, maintaining a clean codebase and fostering collaboration with other developers through code reviews and pull requests.In addition, I optimized database queries and structures for both relational (SQL) and non-relational (NoSQL) databases, achieving up to a 40% reduction in data retrieval times. I also leveraged big data technologies like Hadoop and Spark to process and analyze large datasets, providing actionable insights that informed data-driven decision-making.Working closely with cross-functional teams, I applied data visualization tools (Matplotlib, Seaborn, Tableau) to present data insights, enhancing stakeholder understanding and engagement. Furthermore, I developed predictive models using machine learning algorithms, employing libraries such as Scikit-learn and TensorFlow to enhance product functionality.Throughout my tenure, I participated in agile methodologies like Scrum, consistently delivering high-quality software solutions in iterative cycles, and adapting to client feedback to ensure timely project delivery.