ProxCluster is a framework for Incremental Entity Resolution that leverages concepts similar to K-Means for clustering duplicates. This work was developed as the final paper for my Bachelor degree in Computer Science

A small data pipeline that collects data about billionaires from Forbes and Bloomberg

Web Scraping AIR BNB data using beautiful soup and requests library and then saving it in csv file using pandas library.

Speed comparisons for dataframe libraries

Multi-Objective Recommender System

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

Predicting changes in sleep states based on sleep monitoring data. (Mainly PrecTime model)

A first data transformers POC for Eurostat data

Rust bindings and Polars extensions for libmeos aka MobilityDB

📈 About DataFrames powered by a ⚙️ multithreaded, 🚄 vectorized query engine, written in 🦀 Rust

The rust-dms-cdc-operator is a Rust-based utility for comparing the state of a list of tables in an Amazon RDS database with data stored in Parquet files on Amazon S3, particularly useful for change data capture (CDC) scenarios.

pokéFastApi: A backend API with Docker Compose integration for retrieving and searching Pokémon data using FastAPI and DuckDB.

Perform backtesting of xauusd trading strategies from 2009 to 2023 in 30 seconds using python.

各種言語の仕様について

A Ruby SDK for Different Linux Operating System Distributions.

Tools for processing 96-well plates

a quick data analysis reference by using polars dataframe instead of pandas on blending sheets and summerize.

Delve deeper into data manipulation using Python's prominent libraries. Explore the functionalities of Pandas and get a glimpse of alternatives like Polars, Dask, and Modin.

web platform to introduce basic machine learning concepts, allowing users to interact with different supervised learning techniques and compare their performance