Merve Oztiryaki

As a Data Engineer & Instructor, I design and deliver end-to-end data engineering projects while mentoring professionals in bootcamps focused on Data Engineering, MLOps, and Data 101.

• DBT & BigQuery (GCP): Built scalable data transformation pipelines on GCP using dbt-core, modular SQL models, and BigQuery datasets for analytics.
• Kafka & Apicurio Registry: Designed real-time data streaming with Kafka and Apicurio Schema Registry, managing schema evolution and PostgreSQL integration via Docker Compose.
• Spark, Airflow & Delta Lake: Developed ETL workflows to process complex JSON data and store it in Delta Lakehouse architecture using Airflow orchestration.
• CDC with Kafka Connect & Databricks: Implemented a Change Data Capture pipeline to stream database changes from MySQL to Kafka using Kafka Connect, and integrated it with Databricks to monitor and process real-time data updates.
• Data Visualization: Created business dashboards in Power BI, Tableau, and Looker Studio for pipeline monitoring and insights.

Teaching & Mentoring: Delivering hands-on instruction on Data Engineering, MLOps (including CI/CD, MLflow, FastAPI, Docker/Kubernetes, and LLMOps with RAG, LangChain, and Vector Databases), and Data101 bootcamps, providing practical training on Docker, and Visualization (PowerBI, Tableau, Looker Studio). Guiding students through real-world project implementations and best practices in modern data architecture.

Worked as a Data Scientist & Strategy Business Development and Digital Marketing Manager at Frachtbox, a company with its head office in Switzerland, for 1 year. After being promoted, took on the role of Turkey Office Manager, responsible for managing all workflows, product development, and the team at the Turkey office.

• Spearheaded a freight price estimation project utilizing machine learning models to forecast shipping costs
• Led a team of 6 data analysts and achieved a 78% accuracy rate, reducing cost by $150k annually
• Won the Republic of Turkey Ministry of Trade - DigiCamp Digital Transformation Competition award with this project

Prepared reports through account analysis for Youtuber customers, resulting in an 80% increase in performance. Within the scope of this task, Google Analytics, Ads, Data Studio, Search Console, Semrush etc. tools were used.

Responsible for the development of the "Bulcaz.com" application. Bulcaz App was an application that displayed the tradesmen closest to the user and enabled them to reach them through the application. The application provides customers with 50% time and price advantage.

Worked in the quality department. CRM to provide real-time insights into the product, marketing funnels and business KPIs. Italian Chocolate company with products such as Nutella and Kinder.

Comprehensive 6-week bootcamp teaching n8n workflow automation platform from fundamentals to advanced implementations.

Course Topics:

• Automation & Workflow: n8n platform fundamentals, workflow design, triggers, nodes, and logical structures (If/Else, Merge)
• API Integration: REST API requests (GET, POST, PUT), JSON data parsing, authentication (API Key, Bearer Token)
• Data Management: Database CRUD operations, loops for bulk data processing, PostgreSQL integration
• AI & RAG Architecture: Retrieval-Augmented Generation (RAG), vector databases, AI agents with company documents, chatbot memory
• Infrastructure & DevOps: Docker containerization, localhost setup, Oracle Cloud Free Tier deployment, webhooks, Nginx Proxy Manager with SSL

Learning Outcomes: Students learn to transform manual business processes into intelligent digital workflows, connect independent applications via APIs, build dynamic systems with database management, develop AI agents trained on company data, and deploy projects to production environments with zero cost.

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Docker and containerization course on Udemy. Covers Docker fundamentals, container lifecycle, images, Dockerfile, Docker Compose, and practical DevOps workflows.

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Graduated.

Machine Learning · Data Science · R (Programming Language)

Grade 3.69 - Completed the university with a first degree.

Gained proficiency in ML development process, deployment patterns and tools, MLFLOW, FASTAPI, model deployment with FastAPI, Deployment on EC2, Docker, Kubernetes, ML pipelines, detecting drift, CI/CD, Jenkins, Terraform and Ansible.

Comprehensive knowledge and skills in data analysis, machine learning, and big data. Topics covered included measurement problems (dynamic pricing, AB testing, sorting), CRM analytics (KPIs, cohort analysis, CLTV, segmentation), diverse analysis techniques (RFM analysis, customer churn analysis), recommendation systems, advanced feature engineering, house price prediction, credit risk prediction, automation and model deployment (Flask, makefile), NLP (text mining, review modeling, word embeddings).

Solid foundation in data analysis, analytics, customer relationship management (CRM), and data visualization. The acquired skills equip for leveraging data to drive informed business decisions.

Had disaster search and rescue, first aid and leadership certificates.