- Designed and maintained the backend development of the company's data integration software using Python, Django, and JavaScript.- Developed connectors to retrieve data from various sources, i.e., APIs, FTP, file storages, or data warehouses.- Implemented features for data fetching, i.e., customized time fetch ranges, scheduled fetches, pagination, rate limits, error handling.- Aggregated and transformed fetched data to the client's specification.- Handled bugfixes to enhance performance and ensure seamless data integration.- Customized and designed the software's UI.

Developed backend interfaces between customer-specific data formats and Abacus software in Python.• Communicated with clients to define specifications and requirements for data import.• Test-driven development of client-specific interfaces.• Identified, analyzed, and resolved software bugs during testing and production stages.• Updated, modified, and expanded existing interfaces for clients.

Title: "Comparison of Manually and Automatically Derived ECG-based Left VentricularHypertrophy (LVH) Parameters and their Predictive Value in Survival Analysis”• Developed an algorithm to automatically derive Left Ventricular Hypertrophy (LVH) parameters in electrocardiographic signals of end-stage renal disease patients using Matlab.• Built algorithms to extract, clean, manipulate, and produce visualizations of the cohort data set.• Delivered meaningful results to statistically show correlations between ECG-based evidence of LVH to all-cause mortality in the cohort.