• Manage and optimize company data to ensure efficient data flow and integrity.• Write and refine SQL queries to improve database performance.• Design and maintain automated data workflows using for data entry, extraction, and web scraping.•Support the creation and maintenance of efficient data pipelines.• Assist with the maintenance and update of company software code repositories.

‭Engineered and maintained scripts and automation tools, leveraging Python‬‭and Selenium, to automate routine accounting tasks. This included‬‭automated data reconciliation, report generation, and real-time validation of‬‭financial data.

●‬ ‭Automated processes for the company to streamline online sales operations,‬‭including Web Scraping and Data Analysis.‬‭●‬ ‭Implemented data pipelines to ingest, clean, and transform scraped data‬‭into a structured format suitable for analysis and integration into internal‬‭systems.‬‭●‬ ‭Developed scripts or bots to automate repetitive tasks, such as updating‬‭stock levels, synchronizing inventory across multiple platforms, and‬‭processing online orders.‬‭●‬ ‭Integrated automation solutions with existing systems and platforms, such‬‭as e-commerce platforms, inventory management systems, or order‬‭fulfillment systems, to enable seamless data flow and process‬‭synchronization.

●‬ ‭Developed and trained AI models for detecting eye diseases, including‬‭Diabetic Retinopathy (DR) and Glaucoma, in retinal images.‬‭●‬ ‭Collaborated with a multidisciplinary team, including ophthalmologists and‬‭data scientists, to define project objectives, data requirements, and‬‭evaluation metrics.‬‭●‬ ‭Preprocessed and curated large datasets of retinal images, ensuring data‬‭quality, standardization, and appropriate labeling for training and validation.‬‭●‬ ‭Fine-tuned pre-existing CNN models or developed custom models to‬‭optimize performance and accuracy for the specific eye diseases.‬‭●‬ ‭Employed transfer learning techniques to leverage pre-trained models and‬‭accelerate the training process, adapting them to the task of disease‬‭detection in retinal images.‬‭●‬ ‭Conducted extensive data augmentation techniques, including image‬‭rotation, scaling, and flipping, to enhance model generalization and‬‭robustness.‬

●‬ ‭Developed a desktop application for managing produced badges of‬‭medication.‬‭●‬ ‭Designed and implemented an intuitive user interface for the desktop‬‭application, providing easy access to functionality such as badge creation,‬‭tracking, and inventory management.‬‭●‬ ‭Developed features for generating reports, incorporating relevant‬‭information such as medication details, batch numbers, and expiration‬‭dates.

●‬ ‭Developed a front-end system to support the Ministry of Transport in‬‭determining the flow of people around the city, leveraging map display‬‭technologies and big data analysis.‬‭●‬ ‭Collaborated closely with the Ministry of Transport's team to understand‬‭project requirements and translate them into user-friendly and intuitive‬‭interfaces.‬‭●‬ ‭Utilized map display technologies, to visualize geographical data and provide‬‭a comprehensive view of the city's transportation network.‬‭●‬ ‭Integrated with big data sources, including GPS data, and public‬‭transportation data, to estimate real-time information for accurate flow‬‭analysis.

‭●‬Developed a robust Android application utilizing the Android SDK to create‬‭an interactive quiz platform.‬‭●‬ ‭Collaborated with a cross-functional team of designers and backend‬‭developers to define project requirements, user flows, and API integration‬‭points.‬‭●‬ ‭Integrated REST API endpoints to retrieve quiz data dynamically, ensuring‬‭real-time updates and synchronization with the backend server.‬‭●‬ ‭Implemented data caching and offline functionality, allowing users to access‬‭quizzes even in the absence of an active internet connection.‬