Marion Nikoloudaki - Head of Data Science & Machine Learning, L&W

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Work Background

Light & Wonder - iGamingHead of Data Science & Machine Learning

Nov. 2020- Manage the of Data Scientists and Machine Learning Engineers - Drive Data Science & Machine Learning projects end-to-end in partnership with Product, Engineering, Commercial & Marketing, and cross-functional teams to inform, influence, support, and execute product strategy and business decisions - Work with large and complex data sets to solve a wide array of challenging problems using different analytical, machine learning / deep learning and time series approaches, as well as implementing NLP & LLM internal tools - Lead and organize from ground up the company’s transition to Data Lake, Machine Learning pipelines, Feature store and MLOps - Responsible for the vision, roadmap, and execution for the Data team. Evangelizing the impact of DS / ML to business stakeholders - Expand the vision for data & data science and contribute towards advancing the Data Science discipline at L&W, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists. - Collaborate with C-lvl stakeholders and customers, explain complex models in easy-to-understand terms, translate business needs into data science projects, evangelize the ROI of data science and machine learning

PobucaBoard Advisor - Data Science & AI Consultant

Aug. 2020

PobucaProduct Director

Jan. 2018 - Aug. 2020GreeceProduct: Pobuca Platform – a CRM & Loyalty Platform that increases customer engagement, maps customer journey, automates omni-channel campaigns, rewards loyalty and predicts customer behavior - https://www.pobuca.com Key responsibilities: - Director of the Product team, managing Software Engineers, Data Scientists, Machine Learning Engineers & UI/UX. Product Architect - Translate Business requirements to feature descriptions, support sales & presales by creating presentations, proposals and RFP responses, provide guidance to Business Analysts, contribute and approve the product-related Business Requirements Documents. - Translating customer requirements/business needs to product features and actionable projects - Analyze Product requirements and design the Product architecture with the technical team. - Partner with cross functional teams to ensure quality product output, timeliness, and market requirements - Prepare, maintain, and evangelize the product roadmap to define product enhancements for short and long-term releases - Validate detailed specifications and development costing versus market potential and future predictable revenue - Manage and lead major projects. Build Product Budget to ensure success

PobucaTechnical Product Manager / Lead Data Scientist

Jan. 2017 - Jan. 2018Greece- Managing the Software Engineering & Data Science team - Build and deploy propensity models using machine-learning algorithms. Monitor, test and evaluate the performance of these models - Build predictive models for Customer Profiling, Customer Retention and Customer Segmentation, as well as Cross Selling and Up Selling using Python and Microsoft Azure Machine Learning Studio - Perform OLAP reporting and KPI visualizations using Microsoft Power BI and Tableau - Analyze textual data from customer feedback to build Topic Detection models using LDA, tf-idf techniques & Deep learning - Developed Contact Enrichment model using Social media information, in Python

Pobuca - SiebenSenior / Lead CRM - Customer Engagement Solutions Consultant / Engineer

Jun. 2013 - Jul. 2014Participating in Digital Marketing projects, building and implementing the solution design and software customization. Key Responsibilities: - Owning and leading Digital Marketing & Loyalty projects on Microsoft Dynamics CRM & Marera platform for major Greek and Multinational companies in various industries - Team Leader of the Engineers Team - Planning the business analysis approach & Leading discovery sessions with the key stakeholders for requirements gathering - Design & Implement the Digital Marketing Database, Data Integration, ETL and Query Optimization in Microsoft SQL Server - Analyze customer behavior to automate Customer Journeys - Documenting the Functional Specifications, writing user stories and modelling the business processes in a way that is suitable for human consumption and easy to understand from business stakeholders - Leading training sessions of end users, super-users and administrators

Pobuca - SiebenBusiness Software Consultant

Mar. 2011 - May. 2013Participating in Business Solutions projects, building and implementing the solution design and software customization. Key responsibilities: - Writing and Optimizing T-SQL queries, functions and stored procedures, Integration design and implementation, gathering data from different systems (ERP, SAP, CRM, Excel etc.) - Developing Reports and Dashboards using Microsoft Reporting Services (SSRS), PowerPivot, Crystal Reports - Writing functional and technical Documentation and Collaborating closely with the development team for project requirements and features, motivate them with a clear, elevating goal - Leading training sessions of end users, super users and administrators, preparing the UAT scripts