Ceren D.

Data Scientist & Generative AI Engineer, I design and deploy end-to-end data and GenAI solutions to transform complex data into actionable insights, decision-making tools, and intelligent products.

I work across the entire value chain: collection, processing, modeling, LLM/RAG, automation, and production, with a strong focus on business challenges, data quality, and industrialization.

— Python / R / Matlab / JavaScript

— ETL (Airflow, DBT, Fivetran)

— Data Analysis / EDA

— Stream (Beam, Dataflow, Kafka)

— Hadoop / Snowflake

— PySpark

— Data Engineering / UML

— Hadoop / Spark

— Web Scraping (Beautifulsoup, Selenium, Scrapy)

— LLM RAG / ChatGPT

— Prompt Engineering (CoT & Tool Calling)

— RAG (LangChain, LlamaIndex)

— Vector DB (FAISS, Chroma)

— Agents & Tool Use

— Guardrails, HPO & Monitoring

— Modeling

— Statistical, AI & Machine Learning Models

— Deep Learning (Tensorflow)

— PyTorch, ScikitLearn

— Computer Vision

— Time Series

— NLP

— Dashboards (PowerBI, Tableau, Looker, Shiny, Dash)

— Data Visualization

— UX/UI & Research (Figma, Adobe XD)

— Front (React, JS, HTML, SCSS)

— Back / APIs (Flask, Streamlit, FastAPI)

— Advanced SQL

— Automation (n8n)

— CI/CD : GitHub, Jenkins

— Cloud : GCP / AWS (Lambda, API gateway, S3, RDS)

— TensorFlow, PyTorch, MLflow, Scikit-learn

— Databricks, Dataiku

— Docker, Kubernetes