A program that simulates answers given by a crowd to multiple choice questions with either a single or multiple answers correct, and writes it to a CSV

Software to simulate compendium-wide gene expression data using a VAE.

数据模拟/生成器

Code for reproducing my thesis results.

Cryptocurrency reddit sentiment analysis application.

A sample database with a random data model and automatic reporting. (PL doc)

Rocket Flight Simulation project

Создание синтетического датасета на основе cимуляции свойств физики SEM

Code for JDST 2023 paper: "Simulating Realistic Continuous Glucose Monitor Time Series By Data Augmentation" by L.Gomez, A.Toye, R.Hum and S.Kleinberg

This repository contains projects and exercises I completed during my "Big Data Architecture" course. It reflects the concepts I’ve learned about data processing using Apache Spark and PySpark.

Agent4Edu: Generating Learner Response Data by LLM-based Agents for Intelligent Education Systems (AAAI 2025)

High-performance, multi-stream data ingestion simulator Built for testing real-time pipelines, PB-scale throughput, and stream processing systems like Kafka, Flink, FastAPI, and Iceberg.

🧠 Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments.

[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

Симулятор рыночного мониторинга с автоматическим сбором данных и SQL-аналитикой (MAX, MIN, AVG). 📈🗄

Foundational tools for BCG X's data science packages.

An application for randomly generating telecommunication payment data.

This project simulates user behavior on a SaaS learning platform and analyzes product growth metrics using Python. The analysis focuses on understanding how users move through the product funnel, identifying drop-off points, and evaluating experiments that aim to improve conversion to paid users. The project also includes an A/B testing simulation

Schema-aware synthetic data for databases, APIs, and pipelines. Realistic, relational, privacy-safe.