Senior data scientist

6/2015 – 7/2017

1. Customer Intelligence domain lead at HQ, Corporate Strategy Department.
2. Deployed Wind Turbines (Vestas) performance analytics engine, future malfunctions and breakdown prediction, downtime minimization.
3. Data transformation for commercial use, business applications and market analysis.
4) Pre-deal analysis (Lead role) for Vestas’ key accounts, helped sales team to achieve final deal of 100MWs in a mature market.
5. Successfully delivered Go-To-Market strategy for Vestas’s growth markets, with my final recommendations to BUs’ marketing directors.
6) Supervised research through external agencies like Bloomberg, McKinsey & Co, Forest & Sullivan, and MAKE - forming long-term partnerships, SoPs for data delivery both for data quality and time.
7) Delivered multidimensional customer behavior analytics, including:
i) Customer perception for Vestas
ii) Customer demands and expectations
iii) Buying criteria
iv) Customer view on trends and market expectation
8) Market intelligence:
9) Part of competitor intelligence, following competitors' moves and financials
10) Helping the MI team in market sizing and market share forecast

Business Intelligence (BI), Datenanalyse

6/2013 – 3/2015

1. Led the market intelligence effort with Saudi counterparts to develop a full M&A analysis for a large JV of $235 million in the region. The JV achieved an increase in total sales by 70% for the year (2015).
2. Led the development of market sizing & Go-to-market strategy, played a key role in the company’s strategy in ME, leading to “on top” of the market by € 520 Million for Philips MET region.
3. Won “Superhero” award for distinguished work on Customers, Markets and Competitor intelligence (10+ competitors). Nominated for best practice award, globally (100+ competitors).
4. Developed econometric model frameworks for market sizing worth €4+ billion, which included segmentation, forecasting, market movements, market share.
5. Developed “Usage & Attitude” for luminaries for a market size of € 430 million, assisted the market communication department to get their 1st TV ad for Philips lighting in ME.
6. Supervised research through external agencies like EIU, McKinsey & Co, Forest & Sullivan, and Euro monitor by forming long-term partnerships and controlling the supply of timely data.

Business Intelligence (BI), Data Science