Freelancer profile translated to English.

Description

Hello,

I am currently in charge of the Data Science team at Hostnfly, an Airbnb concierge startup with guaranteed revenue, whose business model is based on machine learning algorithms.

In 8 years of experience, I have developed a dual expertise in data science:

Technical first (designing, developing, training, and deploying machine learning products...) but also business and managerial (identifying and exploiting business value sources, finding the balance between heuristics and machine learning, arbitrating between performance and stability in day-to-day business). Through my current experience, I have also developed in-depth expertise in pricing algorithms.

I am particularly relevant if:

- you are looking to implement initial data components for a business problem

- you are working on complex business problems

- you are looking for an external perspective on your internal team, its processes, and your data architecture

- your project is closely or remotely related to pricing

Feel free to contact me to discuss various projects :-)

See you soon,

Cyril

Industry field of expertise

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Hostnfly
Head of Data Science
HOSPITALITY
January 2017 - Today (9 years and 5 months)
Paris, France
Implementation of pricing models and the Data Science team

Launched mid-2016, 25 employees, €2.5m raised mid-2017

Data Product: Design and Development of a Python pricing product based on 1TB of Airbnb scraping data, composed of several layers of machine learning models (+12 models including custom, LSR, GradientBoosting, SVM, Random Forest, ...), aiming to estimate and optimize the expected gains from short-term rental of an apartment on Airbnb -> +5% gross margin; solution outperforming the market leader in 6 months

Decision Science: Implementation of internal machine learning models for the Marketing and Operations teams (detection of unprofitable customer patterns, traveler trust score, allocation of apartments to logistics partners, etc.) -> x10 scale

Management: Management of a team of 4 Data Scientists
pricing Machine learning sklearn Python Data science Big Data
Natixis
Data Science Expert
BANKING AND INSURANCE
June 2016 - Today (9 years and 11 months)
Support for the Chief Digital Officer in framing the main Data Science projects of the Executive Committee
Cheerz
Chief Data Officer
E-COMMERCE
May 2015 - November 2016 (1 year and 7 months)
Implementation of the data function at Cheerz, a fast-growing photo printing startup (raised €6m in mid-2015)

- Customer Analysis: Analysis of customers and their behaviors, fine segmentation of the base, scoring (machine learning) & optimization of acquisition and retention mechanics
- Product Analysis: Analysis of user experiences on web & mobile platforms, conversion funnels and the impact of new features (A/B testing); Analysis of physical product performance and price testing
- Deep Learning: photo classification, customer profiling, metadata, etc.
- Data Engineering: Implementation of an R data analysis platform & Implementation of Python data pipelines to manage data collection and distribution in internal and external systems
- Business KPI & Dashboarding: Definition and tracking of key business KPIs & implementation of a self-BI tool