Guler Yemenici

In my role as the Data Analytics Lead, I managed Operation, Supply, and Safety data teams, which were responsible for creating end-to-end processes for analytics reports. I worked collaboratively with stakeholders to identify business needs, establish objectives, and define success metrics. I also developed strategies to automate manual processes related to data collection and analysis.

• To ensure smooth workflow, I assigned tasks to individual team members based on their availabilities and capabilities. I collaborated with other departments to ensure that all customer requests were fulfilled promptly. Additionally, I analyzed existing processes and identified opportunities for improvement in efficiency and accuracy.
• I provided guidance, support, and training to team members on data reporting processes. I evaluated employee performance through feedback sessions with each member of the team. I actively monitored progress against goals and objectives set out at the start of each project.
• In addition to this, I investigated potential solutions for complex data problems including missing values and outliers. When necessary, I recommended appropriate measures for resolution. I also produced interactive visualizations of complex datasets by using Tableau.

As part of the company's agile transformation, I took on the role of IT Product Owner in addition to my existing role as a data scientist. With over 10 years of experience in the data field, I was well-equipped to handle this new responsibility.

As IT Product Owner, my key responsibilities included leveraging agile methodologies to move the development lifecycle quickly from prototyping to enterprise-quality testing and final implementation for all IT projects of the Purchasing Department.

• I conducted stakeholder interviews to understand their requirements and goals, reviewed project requirements to identify customer expectations and necessary resources, analyzed user needs, defined complex IT problems, and addressed the appropriate solutions for business requirements.
• Additionally, I monitored project progress through metrics and KPIs to ensure timely delivery, prioritized user stories and managed backlogs, organized sprint reviews to assess performance against objectives and presented regular updates at team meetings to keep stakeholders informed.

As part of the agile transformation structure, I took on the roles of Data Scientist and Digital Transformation Expert. I led and developed data projects for the Connectivity, Purchasing, and HR squads, which included end-to-end processes such as processing unstructured/structured big data and implementing machine learning algorithms.

The 'In Car Assistant Project', which was supported by TUBITAK, was a great example of data science implementations in the company. The project involved Connectivity Big Data Scaling on Azure, Driver Clustering, and Route Prediction data projects. You can find one of the press reflections at the link below.

https://www.haberturk.com/tofas-yapay-zeka-destekli-arac-ici-sesli-asistan-gelistiriyor-2939415-ekonomi

• In the scope of my expertise, I worked alongside team members and leaders to understand analytical requirements and collect information to meet customer and project demands. I conducted feature engineering activities such as variable selection and transformation for building effective prediction models.
• I also analyzed data from various sources to generate insights into customer behavior and segmentation, price prediction, driver clustering, etc. I leveraged cloud-based infrastructure to develop machine learning models and identified data anomalies, working with business units to perform root cause analysis and resolve issues. I cleaned and manipulated raw data, and performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
• I developed predictive models using machine learning and statistical analysis methods and implemented unsupervised and supervised learning algorithms such as random forest, KNN, SVM, and logistic regression in Python and R environments for predictive analytics projects.
• I created graphs and charts detailing data analysis results and kept abreast of industry innovations and emerging trends through scientific articles, conference papers, or self-directed research.

During my time with the Digital Transformation Team, my goal was to uncover the potential of the company in the field of data science, expand the external ecosystem, and ensure that data science projects were properly addressed in the context of business.

Some of my primary responsibilities included receiving data science projects and transferring them to the data science team during the execution phase, as well as tracking the project portfolio and team availability plan in the data science area.

I designed project standards such as acceptance, development, and go-live specifically tailored for data science projects to increase profitability.

During this period, the projects we worked on helped the company achieve its projected profitability.

As part of the company's strategy to create value from data, I participated in the first pilot projects involving AI. These projects covered end-to-end processes such as processing big data and applying machine learning algorithms.

The "Connected Car Realtime Streaming with Big Data on MS Azure" project won the smart manufacturing technologies category award from IDC Turkey. You can find one of the reflections in the press at the first link below:

https://www.aa.com.tr/tr/sirkethaberleri/otomotiv/tofasa-akilli-uretim-teknolojileri-kapsaminda-5-odul/654480

To increase awareness of data and train the first internal data analysts in business units, I acted as a data coach. During the training sessions, we solved real-world problems, and this became a success story in Microsoft Turkey. You can learn more about it at the link below:

https://www.youtube.com/watch?v=ZwETEcSFznM

In parallel, I continued to work on business intelligence tasks such as analyzing business needs with business units, transferring business needs to consultants, and managing resource utilization for outsourced BI developments.

As the first in-house BI developer for the company, I was responsible for completing the BI development architecture and standards to ensure that business needs were met in an optimized BI environment. I successfully achieved data consistency in top management dashboards and designed data flow optimizations that improved system performance. Additionally, I was responsible for the product that provided tracking of budget planning and control over the system.

• My duties included developing, testing, deploying, and maintaining a wide range of BI solutions such as ETL processes, standard reports, and dashboards based on business requirements. I also updated tracking documents, generated different reports, and gave presentations on findings. Maintaining version control over all code changes within the BI environment, including stored procedures, views, and functions, was also part of my job.
• I created complex queries and database objects to pull and manage data, documented requirements through functional specifications and technical design documents, and resolved issues related to data integrity, accuracy, and completeness while ensuring that all deliverables adhered to quality standards. I participated in team meetings, discussed project progress, and provided feedback about possible improvements in design and functionality.
• Working closely with other teams, such as software developers and database administrators, to ensure the timely delivery of projects, was crucial. I provided technical expertise in the development of BI solutions with a focus on performance optimization. I coordinated system installations, testing, and code corrections, and managed the outsource team of Business Planning and Consolidation.

From business needs analysis to delivery, I designed and developed all end-to-end processes of the company's enterprise reports by using business intelligence solutions.

I had the chance to manage the project that included product installations and setups, system integrations, and the creation of the company's first visual BI samples. This project, together with the first mobile BI reports, contributed to an innovative development in its field.