Mergim Mustafa

Project management and sub-project management for five different projects

- Recording and validation of new RPA processes

- Coordination of development teams with 3-4 employees

- Quality assurance of new developments

- Regular exchange with process managers on the client side

- Conception of a new process recording procedure that reduced development times by 20%

Management of support for various projects and over 300 RPA processes

- Leadership of support teams with 4-8 employees

- Coordination of first, second, and third-level support

- Compliance with strict SLAs (initial contact within 4 hours and

error resolution within 36 hours)

- Reduction of error rates by 25%

Project management and development of an internal chatbot based on

company-internal data

- Market and technology research for the selection of relevant tools and

interface integration

- Concept development for efficient integration at clients

- Regular reporting and stakeholder communication

- Planning, prioritization, and creation of work packages

- Leadership of a development team

Development of RPA processes (UiPath)

- In the energy supply, finance, and retail sectors

- Automation and integration of various systems such as SAP IS-U, API

interfaces, Power BI, Microsoft Excel, and Chromium-based browsers

Creating a matching algorithm that compares the prices of our clients' products with those of their competitors, providing valuable insights to help them optimize their pricing strategies. Developing web crawlers to collect information from various e-commerce platforms, including Amazon and other websites, and analyzing the data to identify market trends and opportunities. Conceptualizing and developing the integration of the Google Ads API on my own, which allowed our clients to automate their advertising spending and improve their return on investment. Developing machine learning models to predict the performance of our clients' products in the coming days, which helped them adjust their advertising budgets and strategies accordingly.

Through these efforts, I was able to help our clients improve their product performance. My work required a strong background in data analysis, programming, and machine learning, as well as excellent communication and problem-solving skills.

As a tutor for the "Algorithms and Data Structures" module, I was able to pass on my knowledge and experience in computer science to the students and support them in developing their expertise. In doing so, I was able to deepen my skills in teaching and conveying concepts and skills. Through this activity, I was able to further expand my passion for computer science and broaden my network in the academic community.