Freelancer profile translated to English.
Back to original languageAbout Christian
2 years of practical experience in machine learning:
- Development of predictive algorithms for retail players to assist buyers in identifying star products and optimizing supplies (FutureScore.io)
- Industrialization of AI applications: customer profiling for personalized marketing campaigns, optimization of stock allocation and replenishment (Kering)
- Development of a BitCoin trading algorithm based on an LSTM neural network (Keras)
- Development of an algorithm for extracting nutritional data from product packaging photos (Open Food Facts)
- I am productive and autonomous in the main technologies required in data science: Python, SQL, Pandas, Numpy, Seaborn, SciKitLearn, Keras/TensorFlow, FastAI/PyTorch) as well as Spark
18+ years of cross-functional Data experience:
Functional and technical data architecture
Big data, structured and unstructured data
data warehousing, analytics, visualization
Governance, Team organization, Data valorization strategy
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km), Paris (up to 100km)
Experience
- FreelanceData Science and Analytics consultantCONSULTING AND AUDITSMarch 2019 - Today (7 years and 3 months)Paris, FranceFashionData, since February 2020:FashionData is the data innovation team of a group of textile brands: Jules, Pimkie, Orsay, Rougegorge. Within the data scientist team, I am responsible for creating an application that allows buyers to optimize their store quantities by identifying and suggesting products with similar characteristics. Technical environment: Python, GoogleCloud, SQL.FutureScore, Nov2019 - Feb 2020:FutureScore offers a cloud solution that manages micro-surveys on Facebook to test the appetite of target populations for new products from textile retail players (Décathlon, Jennyfer, Etam, Célio). I developed the algorithms to transform survey results into a product potential score, thus helping buyers identify future star products and optimize their purchases. Technical environment: Python, GoogleCloud, RidgeLasso and GradientBoosting algorithms.Bouygues Telecom, October 2019:analysis of customer service data to identify events in subscribers' lives that lead to an increase in call volume to the call center. Technical environment: Python, SQL, Spark / DataBricks, Azure Cloud.OpenFoodFacts, June - September 2019:Development of an algorithm to extract nutritional information from product packaging photos to populate an open-source food transparency database. Use of Google Cloud OCR, Kmeans and DBSCAN, FuzzyWuzzy.Personal projects May-June 2019:Several POCs delivered during my data science certificate using Python / PySpark, pandas, SciKitLearn, Azure cloud, available on github.com/cgandon. Notably, the creation of a recommendation tool to optimize Bitcoin purchases/sales: Python development, API calls to marketplaces and Twitter, training and application of a Keras LSTM neural network.
- SAP Freelance consultantSAP BI consultant, BW/IP/BPCCONSULTING AND AUDITSJanuary 2002 - December 2008 (7 years)Paris, FranceI participated in 10+ SAP implementations as a freelance consultant & developer in the field of Business intelligence, merchandise and financial planning:
- Retail customers: Reliance Retail (India),, Body Shop (UK),, Printemps, BricoDépôt.
- Other industries: Rolex, Hewlett Packard, Orange (UK), Arcelor, L’Oréal, Lyreco.
- Technical expertise: BW (certified), SAP ECC and IS-Retail, BPC, BI-IP, SAP Merchandise & Assortment Planning, ABAP (OO), FI (certified), CO (certified).
- Business expertise: business intelligence and analytics retail operations, financial planning and control, supply chain operations.
- CTACFranceDirector and FounderCONSULTING AND AUDITSJanuary 2008 - December 2013 (6 years)Paris, FranceStarted and developed a consultancy specialized in SAP retail. In parallel of delivering projects to our customers, I ensured all aspects of business administration and development: strategy, pre-sales, partnership, recruitment and coaching of consultants, commercial relationships. I was at the same time ensuring the lead role delivering SAP projects to our customers on the field. Retail customers: Miss Etam (NL), Casino, Jack Wills (UK), Trafic (BE), Tally Weijl (CH), 3Suisses, GoSport
- Main achievements: growing from 0 to 15 employees and 2M€ sales /year, secured a reseller agreement with SAP France (VAR).
- Business expertise: Entrepreneur and business administration, seasonal/fashion merchandise management, omni-channel retail operations.
- Technical expertise: SAP BW, BI-IP, ABAP (OO), IS-Retail, Business Object
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Education
- Master in International businessKedge Grenoble2001
- Data Science Full StackJedha2019Jedha Paris (https://jedha.co/bootcamp_fullstack/) Machine Learning supervisé Machine Learning non supervisé Deep learning Python, SQL, Spark, Cloud, Web Scrapping