-Designed and implemented an algorithm for dynamic price adjustment based on real-time market conditions, inventory levels, and customer demand. This system informs pricing strategies to maximize competitiveness and revenue.-Developed and managed an inventory database system, and automated the processes of tracking, purchasing, restocking of inventories using Selenium.-Created the store website, ensuring a seamless user experience by implementing responsive design, optimizing site performance, and integrating features like shopping and loyalty programs.

-Preprocessed customer data to train models specialized in credit risk assessment and customer behavior prediction, by utilizing various data cleaning and normalization techniques.-Cleaned raw data using the Pandas library in Python, by removing duplicate entries, handling missing values, and converting data types to ensure data integrity.-Optimized SQL queries to improve performance, resulting in up to 15% decrease in customer database query execution times.

-Automated, using Bash and Python, the procedure of quantifying throughput and energy consumption metrics of simulated distributed servers, which facilitated the performance measurement of new features.-Implemented various load balancing algorithms in C, optimizing the distribution of computational tasks across available resources, minimizing latency and maximizing resource utilization on edge clouds.

-Developed and maintained web applications in HTML/JavaScript with Node.js on the backend, ensuring their functionality, responsiveness, and user-friendliness.-Designed and implemented SQL database systems for our clients, mainly ecommerce websites, optimizing data storage and retrieval for efficient performance