HR Policy Clustering and Similarity Search Tool: Designed for processing and analyzing HR policy documents in Greek. Capabilities: text chunking, embedding generation, clustering, and semantic similarity detection, with the Qdrant vector database for data management. For identifying overlaps in policy content and generating recommendations.

Interactive 2D visualization of music genres using transformer-based embeddings.

🐧 Clustering Antarctic Penguin Species | An unsupervised machine learning project using K-Means clustering to identify distinct penguin species from physical measurements. Implements the Elbow Method for optimal k selection and t-SNE for visualization.

A comprehensive end-to-end project demonstrating t-Distributed Stochastic Neighbor Embedding (t-SNE) for visualizing high-dimensional data using the MNIST handwritten digits dataset. Includes data preprocessing, parameter exploration, and insightful visualizations.

Executed Fine-tuning & Benchmarking, optimizing 12+ LLMs (Gemma-family, Mistral, LLaMA, etc) across 6+ datasets (GSM8K, BoolQ, IMDB, Alpaca-GPT4 & more). Delivered a research-level contribution—model training, evaluation, insights, benchmark comparisons & documentation. Also crafting a custom dataset from open-sourced V0 system prompts.🛰

A neural network-based text generation model using a vanilla MLP architecture to predict the next character in a sequence. The project includes a Streamlit app for customizing parameters like embedding size and block size, enabling real-time experimentation and optimization.

Messing around with embeddings, and visualizations using OpenAI, numpy, sklearn and seaborn

Data science project collecting and cleaning tweets on COVID‑19 vaccine conspiracies, applying LDA topic modeling, k‑means clustering, chi‑square and ANOVA tests.

🛍️ An interactive Streamlit app to explore, cluster, and generate smart recommendations on Amazon products. Includes preprocessing, KMeans clustering, visualizations (boxplots, t-SNE), and a data-driven suggestion system for sellers.

VibeMap is an open-sourced sentiment-aware tweet visualizer that performs a scalable sentiment analysis tool that visualizes tweet embeddings in 3D using t-SNE and emotional clustering.

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