-Lead the adoption of LightGBM ML algoriithm to significantly reduce runtime & overcomplexity with ML models as well as creating Statistical Forecasts using Python modules to be better that the existing 3rd party forecasting platform.-Adoption of QlikSense (from QlikView) & mentoring the business intelligence analysts to create user friendly apps.-Reviewed code written by consultants in other areas of the Incora business to aid the business understanding of the quote recommendation calculation.-Managed small team supporting them where required, managing projects, team capacity & relationship with stakeholders

-Led multiple Data Science projects throughout my time specialising in the areas of Procurement & Supply Chain-Worked with Procurement with creating new reports using data manipulation in Python in order to create working capital benefit for the business-Using clustering ML techniques to explore whether we can identify outliers in regards to part purchase price with suppliers-Leading a complex project in supply chain around identifying why a customer order has occurred and automated data manipulation in Python to be outputted into a QlikView dashboard. With the help of a QlikView developer designed a dashboard in order for it to be created

-In this role I worked as a Junior member of the team specialising in analysis of Machine Learning forecasts-Built machine learning models for forecasting customers demand using inputs from our demand planner-Served as a cover forecast analysis analysing different types of forecast and ensuring processes were upheld & on time in order to raise orders with suppliers

-My main task was data entry into the company's MRP system-Also using Excel did various reports for the business whilst trying to enhance the reports further and the data manipulation involved-Responsible for writing off lost stock in the MRP system