As a trainee, I completed a year-long bootcamp in the field of data science, with a focus on data analysis and machine learning.● Completed a comprehensive data science bootcamp with a focus on data analysis and machine learning.● Gained proficiency in a range of tools and technologies, including Python, SQL, and Tableau for data analysis.● Developed expertise in ML, DL, and NLP techniques for machine learning.● Deployed models on AWS and gained hands-on experience working with cloud technologies.● Collaborated with peers on real-world projects and developed strong problem-solving and teamwork skills.

● Detection of critical points with regular checks on projects, preventing project delays by making early interventions● Keeping cost data about spare parts, fuel, etc. of construction machines in Excel. Making profit/loss analysis using basic statistical methods● Increase existing purchasing network by 20% by working with new suppliers● Making financial improvements by finding the optimum number of personnel and equipment in variable field works● Preparation of files by anticipating minor emergency scenarios or possible company activities● Establishing strong commercial relations that will increase the reputation and recognition of the company, in accordance with trust and business ethics

● To take part in 5 individual projects with different dynamics and to adapt quickly to the processes there.● Supervise project workers, including coordinated work with internal, external contractors and subcontractors.● Planning the project without causing disruptions in successive works by arranging the time management well.● Following the daily process by preparing end-of-day reports. Transferring the records of the measurements taken after the technical works to the computer environment.● By taking a voluntary role in obtaining price offers for the equipment and materials used, quickly covered the deficiencies in my own field work. Earned up to 5% in total as a result of early research and purchases

● To closely examine the mistakes made in the field ● Contribute to 5+ the problem solving process.● Reviewing 10+ activities and reporting/informing of missing or incorrect practices.