Tolga dfavenfre

💻 Currently working at Naviga AI as Data Scientist, developing Autonomous AI Agents & AI Chatbots.
📖 Conducting research on Autonomous AI Agents and Retrieval-Augmented Generation.

Journal	Title	PDF
Cambridge University Journal of Natural Language Processing	Maximizing RAG efficiency: A comparative analysis of RAG methods	Download PDF

Machine Learning/AI Agents

Title	Stars	Tech Stack
Multi-Modal RAG
RAG Optimization
TalkYou
LLMRoboFund
Electricity Price Forecasting (Time-Series)
Olivetti Face Recognition (CNN)
Fashion MNIST
MobileNetV1 Julia Implementation
EfficientNetV2 Transfer Learning (CNN)
Food Vision (CNN)
Econ Dashboard
Bitcoin Price Forecasting (Time-Series)
Bike Sharing Demand Prediction (Regression)
USE Transfer Learning - Financial Sentiment Classifier
Bank Customer Deposit Behavior Prediction
Credit Score Prediction (Ensemble Modelling)

My Github Stats

✍️ Medium Blogs

I occasionally write blog posts on various topics at Medium. Here are some of my recent articles:

Leveraging Lagged Exogenous Variables For Time-Series Forecasting — Without Time: Explore additional usage of ML models to forecast (t+n) horizons with lagged exogenous variables. A neural network time-series model is also deployed to create a benchmark for later comparison, using nn.LSTM layers.
House Price Prediction: Stochastic Gradient Boosting With KNN Imputer for Pre-processing: A depth-analysis on Kaggle's House price prediction competition, with a focus on the usage of KNNImputer for missing value imputations, feature engineering, model building using Stochastic Gradient Boost, hyperparameter tuning with Optuna, and SHAP-based feature selection.
Credit Score Prediction With Multi-Model Ensemble Voting Classifier: A detailed process starting from data cleaning and interpolation to building a voting-classifier as an introduction to building a classification model, using various machine learning algorithms.