Overseeing end-to-end customer experience, from first contact and discovery to strategic planning, implementation and after-care.

Delivered regression based execution engine to forecast Balance Sheet and P&L for internal planning and budgeting as well as external reporting. Responsible for engine implementation, assisting with methodology development.Technologies: Python (Flask, pandas, SQLAlchemy), Snowflake, PostgreSQL

Designed and delivered live kitchen and driver monitoring software for a unicorn startup in the cloud kitchen industry. The engine was able to forecast estimated driver pickups based on live traffic information and provided ETAs, and schedule the kitchen to cook food on time, matching driver arrival.Technologies: Python, Snowflake

Developing methods for data control, removal and manipulation.

Balance and NII forecasting platform design and initial release development (Data sourcing; Statistical model Implementation; Forecast delivery)Technologies: Python, JS, SAS, SQL

Stress Testing PD model developmentTechnologies: SAS

Banking / Credit Information BureauRequirement Elicitation, Design of new Data WarehouseNew project related to bookingsSolutions design, Development, Integration.Technologies: Python, SQL, JS (JQuery), HTML/CSS.Public sector (EU agency responsible for security at the external borders):Proof of Concept design and implementationTechnologies: SAS DI, SAS Stored Processes, SAS VA, GIS integrationBanking (Leading polish bank):Data migration from SAS to Teradata environment, development and support.Technologies: SAS DI, LSF

Risk Management, Finance and Banking, Modelling (PD, LGD, EAD), Statistics, Data Mining, Business Intelligence, Basel IITechnologies: SAS base/macro DI EG, R, Oracle

Support of customer IPO process.

Business Development, Project Managment, Analytical supportTechnologies: R, VBA

Project promotion, Support of students, candidate-entrepreneurs in building strategies and business plans