Arkadiusz Kulpa

Timeseries Forecasting In Financial Services Industry Using Machine Learning Approaches COMPANY is a share registrar for 30% of S&P500 and 49% of FTSE100 companies, who rely on COMPANY to provide secure, optimized and modern services including analytics and insights that could protect them from market manipulation and market anomalies. In an era of algorithmic insights…

This report considers how Machine Learning can provide a solution for the issue of fraud such that affects COMPANY as a Share registrar and Pension service provider. In the first part of the report AWS Sage Maker is outlined as a potential cloud architecture for creating a fraud detection model, with the second part of…

By Arkadiusz Kulpa, API tests: here API tests v2: here Applicability of an AI Chat Assistant in resolving knowledge compartmentalization within a workplace This report aims to investigate whether AI Innovations can help manage complex operations of a company suffering from compartmentalized knowledge, where various teams need to rely on the broader business for information…

Excel Based Test Schedule with Azure Dev Ops APIs As part of my Integration Tester / Package Lead role at EQUINITI I developed an automated Excel based Test Schedule that would automatically fetch updates from Azure Dev Ops using APIs to get update on our test progress.# This was necessary because Azure Dev Ops (ADO)…

Hi All, I’m just starting to write down my projects in blog / post style as it will be more attuned to the multitude of initiatives that have now emerged in which I am involved. Previous projects (the basics) are listed in ‘page’ form on the main page of my portfolio. However, since the Automated…