- Working as a part-time Software Engineer in a team dedicated to managing and enhancing account and salary-related projects.- Designed, updated, and optimized back-end services using Java Spring, enhancing system performance and scalability while ensuring seamless integration with existing functionalities.- Developed and executed comprehensive unit tests for Java methods using JUnit and Mockito, significantly improving code quality and increasing line coverage from a mere 4% to 40%.- Played an role in identifying, tracking, and resolving system bugs by leveraging advanced monitoring tools such as Dynatrace and Splunk, ensuring smoother operations and enhanced system reliability.

- Actively contributed to a comprehensive project aimed at detecting anomalies in time series data, leveraging advanced analytical techniques to identify irregular patterns and deviations.- Conducted extensive data preprocessing to ensure the dataset was clean, structured, and suitable for analysis. This included handling missing values, normalizing data, and creating features relevant to anomaly detection.- Designed and implemented data aggregation pipelines, summarizing complex datasets into meaningful metrics to enhance the accuracy and efficiency of the detection algorithms.- Performed in-depth research to evaluate and select state-of-the-art algorithms tailored for anomaly detection in time series data, ensuring their suitability for the specific characteristics of the project’s dataset.- Played an integral role in every phase of the project, from initial conceptualization and algorithm selection to model development and evaluation. This hands-on involvement significantly enhanced my expertise in data analysis, machine learning, and real-world application of anomaly detection techniques.