TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation

The fastest way to make sense of a transaction log.

TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation

Dynamic classifier for estimating the predictability of client's transactional behaviour

Predictability classes for forecasting bank clients behavior by transactional data.

A workflow-driven solution was developed to manage different leave types (regular, partial, casual), annual balance resets, approval deadlines, and escalation rules, with added features for replacement assignment, cancellations, and mission requests including itineraries and submission conditions. the implementation achived using ASP.NET Web API

Este projeto analisa transações comerciais, limpando dados, tratando valores nulos e criando novas variáveis para extrair insights e otimizar estratégias comerciais.

EDA on transactional data

A Python project demonstrating efficient estimation of unique elements in any dataset using the HyperLogLog algorithm with parallel processing. In this example, we apply the method to a transactional dataset, showcasing data cleaning, visualization, and performance comparisons for scalable cardinality estimation.

C++ test assignment on implementation of CLOPE clustering algorithm

Fraud detection on mobile banking transactions

Penjualan produk-produk fashion semakin meningkat seiring dengan bertambahnya permintaan pasar yang terus berkembang. Analisis data ini dilakukan untuk mengetahui distribusi dari penjualan, tren penjualan, kebiasaan pelanggan, dan produk terlaris berdasarkan transaksi yang terjadi.