I'm a passionate Data Scientist with a knack for building end-to-end solutions leveraging advanced analytics techniques. Currently pursuing an M.S. in Intelligent Interactive Systems at Pompeu Fabra University, my expertise includes areas like Generative AI, predictive modeling, time-series forecasting, and NLP.
- AI Innovation: Developed roobin.ai, an advanced multimodal Retrieval-Augmented Generation (RAG) platform deployed for clients in media, automotive, and mining industries.
- Project Success: Presented a cutting-edge AI solution for a Metropolitan Municipality in Turkey at the Meta Global Llama Community Summit 2024 in Menlo Park.
- Mentorship: Guided 100+ participants in mastering Data Science and Machine Learning at Miuul Bootcamp.
- Programming & Tools: Python, SQL, Scikit-learn, Tensorflow, Keras, MLFlow, FastAPI, FlaskAPI, Langchain, OpenAI, Open WebUI, Streamlit, Chainlit.
- Cloud & Vector Databases: Qdrant, Milvus, FAISS, Azure AI Search.
- Core Expertise: Predictive Modeling, NLP, Generative AI, Recommendation Systems, Time-Series Forecasting, Dynamic Pricing.
- Time Series Forecasting: Energy consumption predictions using LSTM, MLFlow, and FastAPI.
- Player Segmentation: K-Means clustering for FIFA 22 players.
- Hybrid Recommendation System: Recommendation system for an online store leveraging 4 different approaches including Popularity-Based, User-Based and Item-Based Collaborative Filtering and Association Rules.
- Customer Lifetime Value Prediction: Lifetime value estimation with BG-NBD & Gamma-Gamma models.