Terence Keller

Senior Data Scientist | MLOps

Salary / Daily rate

Paris, France

Freelance, open to permanent contract

Can come onsite

Skills

Data ScienceMachine Learning

Languages

EnglishSpanishFrenchPortuguese

About me

Intro

Data Scientist & MLOps specialist with 10+ years optimizing business performance through ML at Apple and Disney. Expert in recommendation systems, dynamic pricing models, and spatial analytics with proven A/B testing results. Delivering end-to-end ML solutions from model development to production deployment.

Links

Work experience

Data Scientist & MLOPS

Disneyland Paris

Feb 2025 - Present

1 year 9 months

Marne-La-Vallée

• Managing a end-to-end pipeline of a recommendation system for hotels and complementary products, leveraging DeepRank, Random Forest and CatBoost models • Executing A/B test to evaluate recommendation system performance and establish causality for informed decision-making • Building a dynamic pricing optimization model to adjust product rates with real-time market demand • Led the full lifecycle of web analytics including data acquisition, anomaly detection, exploratory analysis and visualization

Apple

Jan 2014 - Dec 2024

11 years

Paris, France

Data Scientist - Apple Inc.

Feb 2018 - Dec 2024

6 years 11 months

Paris, France

• Developed end-to-end ML solutions using linear, non-linear, time series and spatial models to predict customer frequency in stores and assess commercial performance. • Integrated spatial models to support sales decision-making, including predicting potential sales in new locations and testing “what-if” scenarios for optimizing store placement. • Built optimization models leveraging genetic algorithms, hill climbing and simulated annealing to estimate travel costs for store visit programs. • Predicted missing speed values in the TomTom road network using street profiles, points of interest and surrounding population density data. • Applied natural language techniques like n-grams, bag of words and TF/IDF to enrich points of interest and shopping zones. • Trained geospatial and deep learning models, including Word2Vec, GloVe, RNN, GRU & LSTM to automatically detect anomalies and correct geocoding errors. • Automated vectorization of satellite images and implementated land use classification methods. • Used generative AI and knowledge graph to automatically describe reports and dashboards.

GIS Analyst

Jan 2014 - Mar 2018

4 years 3 months

Paris, France

• Managed and integrated the TomTom road network dataset for over 120 countries to define sales catchment areas. • Aggregated, cleaned and standardized socio-demographic data for 70 countries from diverse sources, including store locations and points of interest and integrated the data into spatial databases like (ESRI/PostGIS) using ETL (FME). • Developed an automated pipeline to continuously update and track new data. • Implemented monitoring systems to identify changes in socio-demographic patterns or sales trends. • Performed geocoding APIs to convert addresses into geographic coordinates. • Applied GIS techniques to generate spatial features such as proximity to stores, population density and clustering of population profiles. • Performed spatial analyses, including hotspot detection, spatial regression and correlation assessment, to account for population heterogeneity and identify potential investment opportunities. • Designed interactive maps and dashboards to visualize socio-demographic data, competitors and their relationships with sales data.

International Studies and Methods Geomarketing Coordinator

IMMO Mousquetaires

Jan 2012 - Dec 2014

3 years

Bondoufle, France

- Designed and managed a geomarketing tool to support sales decision - Performed all aspects of the feature engineering: data acquisition, anomaly detection, exploration, pattern and data mining, modeling, data visualization & documentation.

Geomarketing Project Manager trainee - France & International

Groupe Carrefour

Jan 2011 - Dec 2012

2 years

Mondeville, France

- Built frameworks to establish data quality standards in large scale scenarios. - Worked with different sources of data to uncover trends and patterns to support business objectives.


Education

DSTI - School of Engineering

Applied MSc in Data Science & Artificial Intelligence

2021 - 2023

3 years

Université de Paris 3

PHD in geography, urban planning and management

2007 - 2012

6 years

Université de Paris 3

Master in geography, urban planning and management

2005 - 2007

3 years

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