Berke Ozbek Email and Phone Number

•I implemented AJAX development technique to retrieve the data from the server asynchronously without having to refresh the page.•By using Flask web microframework, I've created the fundamentals of the backend-web architecture of our products.•I have developed & tested 5 automation programs using Selenium that will run continuously everyday and they were fetching data from the SQL server database.•Before the live process of our applications, I've run many tests. Also by applying bugfixes to the newly created algorithms, they were reached to the final form with a satisfiable degree of success rate.

•Developed multiple automation software using Selenium and opening a localhost in Google Chrome in the defined sequence of actions. (e.g. marking a non-existent place on Google Maps)•Implemented software programs for the purpose of compiling and editing the customer companies' store information on Google Maps via using GMB API, using the Python language. Prepared algorithms to determine the language of the comments in Google Maps and commenting in the same exact language in defined stores via using JSON files.•Completed updating and uploading new info or media into the targeted locations by the utilization of Microsoft Excel files in the code. Also created programs in order to create XML files for the usage of Yandex Maps for them to add the place information in their systems.•Created data scraping codes working in JavaScript language for the usage of them in our system.•Trained and taught a co-worker around 3-4 months during the work hours about the usage of our implementations on both automation algorithms, data manipulation and how to use them accordingly.•Managed to work with an FTP server in order to save and use more data/media via uploading and selecting them in the correlating sections of code.

•Relocated the list and decided to collect all of my previous tasks in the "Full-Time Software Developer" section.

•In our capstone project; we have worked with a team of 6 engineering students in the aim of developing a energy consume prediction algorithm in Python language, 3 software engineering students, 2 energy systems engineering students and an electrical electronics engineering student.•We have analyzed the sensor data through correlation graphs as a team. •Implemented different AI algorithms to find the most accurate predictions resulting by the development of a LSTM prediction algorithm.•The prediction accuracy of the implemented deep learning software was over 95% for the aim of reducing energy consumption at production plant in the P&G factory.

•Conducted extensive researches targeted at the FMCG marketing companies' customer database platform software in the terms of their technical features and capabilities.•Examined the function and usage of network monitoring tools developed for the Linux OS, delivered presentations of these software and submitted an unfinished version of a network monitoring program using the Python language.

•Analyzed Turkish economy newspaper reports in order to apply data type labelling operations.•Defined particular sets of relationship types and provided correlation types between the data type labels & established relationship sets for more than four hundred pages full of economy newspapers' data.•Submitted all the prepared datasets for the usage of predeveloped artificial intelligence algorithm.