Samuel H.

Nova Consulting is a strategy consulting firm specializing in ROI analysis and optimization in industries heavily influenced by emotions. We offer a quantitative and financial approach for industries where such performance indicators are lacking (working exclusively with senior management).

- Built the Data team comprising approximately 20 Data Scientists, ML Engineers, and Data Consultants.

- Client Projects:

• Banking & Insurance - Used 'geodata' to redefine strategic objectives for branches.

• Automotive - Approximately ten scoring and segmentation projects to optimize targeting (+5% sales before the pandemic).

• Banking & Insurance - 3 scoring projects saving approximately 30% of marketing budgets (around 3 million euros annually).

• Banking & Insurance - Predicting the performance potential of a branch in selling auto insurance.

• Postal Services - Collection and modeling strategy to support the group in its B2B automotive market penetration.

• Banking & Insurance - Strategic data audit and customer segmentation.

• Banking & Insurance - Community cloud strategy for finance.

- Designed and managed 4 internal products:

• AI to predict the commercial potential of an area through automatic data enrichment.

• Consolidation of customer questionnaires to identify transversal strategic insights.

• Evaluation of the impact of marketing investments in France.

• Natural Language Processing algorithm to extract key strategic insights from Google, Trustpilot, and Tripadvisor reviews.

Zand Bank - Developed a data strategy for infrastructure (Collaboration with investors and C-level).

Dubai Tourism - Developed tourism through 15 use cases and implemented infrastructure in line with a strategic data vision.

Total - Data Lead for Optimizer, a comprehensive solution for monitoring and optimizing energy flows from suppliers to mining operators.

Point P x Google - Voicebot competition for Point P stores (won against Amazon and Microsoft) aimed at providing information.

Allianz - Led various data projects related to fraud detection and data engineering (3 projects).

Orange - Created synergy between 5 strategic data science projects concerning fiber deployment.

Samsung - Improved S9 sales in the Spanish market through cold-hot grouping for marketing.

Shippeo - Developed and deployed an arrival time estimation algorithm for supply chain deliveries.

Greenpeace - Algorithm to boost climate awareness by revealing the truth about climate change.

Maisons Du Monde - Reimagined the customer welcome process for customer loyalty.

Enedis - Optimized the deployment of Linky meters (time and costs) across France.

Carrefour - Redefined catchment areas and recommended flagship products for optimizing attractiveness.

PwC Global - Implemented a Big Data platform and two data applications for human resources.

Bouygues Construction - Forecasted the availability of construction materials.

Bricorama - Implemented online customer segmentation and a recommendation engine.