Driven by a passion for uncovering insights from data and transforming raw information into actionable strategies, enthusiastic about applying analytical skills to contribute meaningfully as a Data Analyst.
With a solid foundation in statistical analysis, data manipulation, and visualization techniques.
Software Development : Write clean, maintainable, and efficient code in Python according to best practices.
Develop backend services, APIs, and web applications using Python-based frameworks such as Django, Flask, or FastAPI.
Requirements Analysis : Collaborate with stakeholders to gather and analyze requirements for new features or enhancements.
Translate business requirements into technical specifications and design solutions that meet user needs.
System Architecture : Design scalable and high-performance software architectures for Python-based applications.
Architect solutions that are modular, reusable, and extensible, considering factors such as scalability, security, and maintainability.
Database Management : Design and implement database schemas, queries, and optimizations for relational and non-relational databases like MySQL, PostgreSQL, MongoDB, etc.
Ensure data integrity, consistency, and security in database operations.
Testing and Debugging : Write unit tests, integration tests, and end-to-end tests to ensure the reliability and correctness of software components.
Debug and troubleshoot issues in existing codebases, identifying and resolving bugs in a timely manner.