Rached - Chef de projet BI

Digitalization and Analytics

Lead: E2E Business leadership for 5 Luxury brands (Blancpain, Breguet, Harry Winston,..) digital breakthrough (process, capabilities, tools, reporting, change management,..)

Data Science and Governance

Led the biggest Business Unit ($500M revenue) data strategy by implementing tailor made-cloud supported solutions to turn (Big) data into actionable insights for decision making. Represented the business needs in several forums and audience (internal and external: conferences, workshops, trainings,). Implemented governance best practices with cloud environment, systems integration (End-to-End Live-Raw-Analytics-End User on reporting and predicting tools) for finance, sales, marketing, operation, IT. Data Engineering, Modelling and Reporting (BI) Lead for +1000 MD Programs.

Senior Bi and Analytics Consultant

Providing expertise on (big)data analytics: designing, testing and implementing tailor KPIs for service and industry with associated change management. Data warehousing, security, PMO and dev ops activities. Business: Industry, FMCG, NGO.

Advanced Studies in Healthcare Supply Chain Management with focus on Business Analytics and S&OP for pharma industry and service management.

Senior Economist, Business Analytics and Intelligence

Holding the position of Economist-Statistician at Geneva University Hospital (HUG), I am providing strategic consultancy in terms of metrics, KPIs solving large scope of BPWATTS for public health policy. My tasks overlap three main pillars: 1. Understanding business challenges arising from day to day work and translating them into technical and functional specifications. 2. Meeting the needs with analytical tools and developing cutting
edge tailor made IT solutions. 3. Providing economical and statistical studies and analysis for the senior management to help the major stakeholders take the right decision following the Geneva’s government policy in public health. Implementing a data driven decision making culture over a structure in an urgent need for leaning the decision process. This task required drafting several policy papers to analyse, target and tackle major challenges following the endogenous situation of our structure and the radical changes in the social structure of Geneva’s population.

Operations. Research and Development-Data Scientist/ Project Manager trainee: Big data processing for consumer acceptance. . Information Services-Data scientist : Led the implementation of the data driven company program within PMI through projects, reference architecture and PoCs for different global and corporate functions moving from classical reporting BI towards a new consumable, actionable and speed to act business insights. I have implemented a data driven solution for marketing impact and targeting (consumers, channels,). I also had a close collaboration with the business team generating the business case and obtained their buy-in. Managed different stakeholders including Accenture as 3rd party, legal, financial, security and architecture frameworks. As a trainee, I have implemented a sales force automation solution with Waterfall methodology (Accenture as 3rd party, 200 man days, 56 end-users, aggressive timeline and quality constraints.) I have managed the stakeholders from the business requirements collection, use case, fit-gap and scope analysis, the customization follow-up, from the specs study until the QAUAT phases including the key users training and the delivery hyper care. My next assignment was a state of the art model to exploit Big Data in order to provide ROI of marketing initiatives on the KPIs.

MSc Mathematical Engineering (Financial and Statistical Mathematics)
Master thesis in Data Mining and Business Intelligence applied on social segmentation/Clustering large trade data. BSc Applied Mathematics

Data Scientist

Covering +70 markets around the globe manipulating weekly based sales and logistics data over +100K SKU portfolio. Variety of data mining and processing techniques from cleaning, consolidating, modelling, testing and implementing tailor made algorithm to derive business added value. Bridging the gap between business needs, IT framework(servers, data lake, cloud,) and tools (Viz./BI/Reporting, ERP, CRM,..), I could reduce manual SLA consolidation process from 14 hours to 7minutes global wise from raw data to cutting edge reports and dashboards and quickly become the SME of the OTIF/SLA KPI for the entire organization