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Summary

Data Scientist with 3+ years of experience specializing in Monitoring & Evaluation within the humanitarian sector. Proven ability to research, design, and implement innovative M&E frameworks integrating ML, statistical models, and causal inference to assess program impact and improve targeting accuracy. With a dedicated focus on AI Safety and Explainable AI (XAI), committed to building transparent and ethical solutions. A persistent and creative problem-solver, passionate about delivering impactful, end-to-end ML workflows—from data storytelling and model deployment to ensuring robust and interpretable outcomes.

Professional Experience
Türk Kızılay | KIZILAYKART, Data Scientist - Monitoring and Evaluation
2023/05 | Ankara, TR
  • •Applied advanced Monitoring & Evaluation (M&E) methodologies (logframes, indicator tracking) within the world's largest cash assistance program, ensuring alignment with humanitarian standards.
  • •Designed and implemented monitoring frameworks integrating econometric, statistical, and Machine Learning models to enhance program outcome tracking and evidence-based decision-making.
  • •Engineered real-time data pipelines and developed interactive dashboards for real-time program monitoring and automated data quality assurance.
  • •Improved resource allocation accuracy by developing classification models for vulnerable household profiling, refining targeting criteria.
  • •Collaborated closely with program managers, field teams, and IT to understand needs, ensure data integrity, and translate complex data insights into actionable recommendations via compelling data storytelling for diverse stakeholders.
    • E-commerce Initiative, Entrepreneur
    2022/08 – 2023/05 | Ankara, TR
  • •Founded and managed an e-commerce venture, leveraging data analysis to optimize operations and marketing, achieving a 10-15% profit margin.
    • Internships
    Türkiye Kalkınma ve Yatırım Bankası, Project Funding and Corporate Loans
    2021/08 – 2022/04 | İstanbul
  • •Assisted in analyzing companies, obtaining investment details/financial statements, and communicating findings.
  • •Gained insight into investment processes and sustainability policies within a framework aligned with international institutions and some of the largest companies in Türkiye.
    • AFS Boru San. A.Ş., Finance
    2021/06 – 2021/08 | Ankara
  • •Supported financial operations including cash management, banking activities, and import/export processes.
  • •Enhanced financial reporting through meticulous handling of cash flow, tax returns, and account reconciliations.
    • Projects
    Recipe Recommender with Computer Vision & LLMs
    2025/06 – present
  • •Developing a system to automatically detect food ingredients from a user's fridge image using computer vision techniques
  • •Building a Retrieval-Augmented Generation (RAG) pipeline to enhance an open-source LLM (e.g., Llama, Mistral) for generating personalized and accurate recipes from the detected items.
  • •The project goal is to connect the vision and NLP modules into a full pipeline, potentially accessible through an interactive chatbot.
    • E-commerce Analytics Dashboard (Trendyol API)
    2025/01
  • •Developed a dashboard integrating the Trendyol Seller API to automate sales, commission, and expense analysis.
  • •Enabled detailed P&L insights and data-driven pricing optimization via automated cost breakdowns.
  • •Leveraged Python, OpenStreetMap (OSM), and GeoPandas to generate customized regional maps.
  • •Integrated project-specific datasets onto maps for advanced geospatial visualization and analysis supporting institutional projects.
  • •Conducted spatial analysis to identify and map regional vulnerabilities based on datasets.
    • Real-Time Data Integration with ODK API
    2024/01
  • •Engineered a real-time data pipeline integrating ODK APIs for automated data ingestion and immediate quality assurance checks
  • •Built an interactive Streamlit reporting dashboard for real-time monitoring and data visualization.
  • •Significantly reduced manual workload for data monitoring through a Streamlit dashboard providing live tracking and visualization of data quality metrics.
  • •Engineered an NLP system using (TF-IDF/SVM) to classify hotel reviews (Tripadvisor dataset via Webscraping) on a 1-5 scale.
  • •Deployed the model via a Streamlit web application for real-time sentiment analysis and visualization.
  • •Technologies: Python, Scikit-learn/Tensorflow ,Streamlit
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    Education
    Bachelor of Economics, TOBB Ekonomi ve Teknoloji Üniversitesi
    2017/08 – 2022/11 | Ankara, TR
  • •Artificial Intelligence in Finance (Statistical Learning, Classification, Regularization)
  • •Econometrics & Microeconometrics (Hypothesis Testing, Discrete Choice Models, Panel Data)
  • •Time Series Analysis (Stationarity, ARMA/VAR Modeling, Forecasting)
  • •Probability & Statistics, Game Theory, Information Economics
    • Bootcamp
    2025/06 – present | İstanbul
  • •Selected for an intensive, project-based program focused on developing and deploying a full-stack AI application.
  • •Currently building a recipe recommendation system utilizing Computer Vision for ingredient detection and a RAG-enhanced LLM to generate personalize
  • •Gaining hands-on experience in the end-to-end project lifecycle, from data collection and model training to final pipeline integration recipes.
    • 2024/01 – 2024/04 | İstanbul, TR
  • •Developed scalable ML products using APIs and MLOps principles.
  • •Applied advanced NLP (LLM fine-tuning, distillation, search engines) and Computer Vision techniques (ViT, CLIP, Diffusion Models).
  • •Completed intensive training focused on Deep Learning Specialization, TensorFlow Developer Certificate preparation, and practical problem-solving via Kaggle challenges.
  • •Comprehensive training in Machine Learning, Deep Learning, Cloud Computing, and End-to-End Big Data Analytics, featuring an NLP sentiment analysis project.
    • Skills
    Programming Languages (Python, SQL, Stata, E-Views, Java (Beginner))
    Machine Learning Frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, XGBoost etc.)
    LLM & Generative AI (LangChain, LLM Agents, Retrieval-Augmented Generation (RAG), Hugging Face Transformers, Vector Databases, Fine-tuning Techniques)
    Deep Learning (CNNs, RNNs, LSTMs, GANs, Transfer Learning, Pre-trained Models (e.g., BERT, ResNet))
    Core NLP (spaCy, NLTK, Text Preprocessing, Sentiment Analysis)
    MLOps & Deployment (Docker, CI/CD (e.g., GitHub Actions), Model Monitoring, MLflow, and Kubernetes,)
    Data Processing & Big Data (Apache Spark, Apache Kafka)
    Relational Databases (PostgreSQL, MySQL)
    GIS & Spatial Analysis (GIS & Spatial Analysis: GeoPandas, OpenStreetMap APIs, QGIS, Spatial Statistics)
    API Development (FastAPI, RESTful APIs, Model Context Protocol (MCP))
    Experiment Tracking & Explainability (Weights & Biases (W&B), SHAP (SHapley Additive exPlanations))
    CS Fundamentals (Linux (Shell Scripting), Version Control (Git))
    Soft Skills (Project Management, Adaptability, Critical Thinking, Ethical Awareness, Creativity)
    Web Application Development (Streamlit, Gradio, Taipy, HTML, CSS)
    M&E Frameworks/Tools (Logical Framework Approach (Logframes), Theory of Change (ToC), Results-Based Management (RBM), Indicator Development & Tracking)
    Data Collection & Management (Advanced ODK (Complex Forms, ODK Central, API), Survey Implementation, Data Quality Assurance Protocols)
    Survey Methodology (Advanced Questionnaire Design, Sampling Strategies, Bias Reduction Techniques, Reliability & Validity Assessment)
    Cloud Computing (Google Cloud (Compute Engine (VM Management), GPU & TPU Configuration) (Pipelines, Training))
    Languages
    English (TOEFL PBT 507 -2018 [Advanced/Proficient])
    Turkish (Native)
    Spanish (Basic)
    Certificates
    Google Developers Machine Learning 2023
    Veri Bilimci Eğitim Programı (Çoşkunöz Eğitim Vakfı)
    Applied AI, Inzva
    Banka Tanıtım Programı (Türkiye Cumhuriyet Merkez Bankası)
    Deep Learning Specialization (Coursera)
    Various certificates from (Coursera, DeepLearning.AI, Datacamp etc.)
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