Evaristus (Fuh) Chuo
Data Scientist
Experience
Jun 2023 - Present
2 years 2 months Munich, Germany
Data Scientist
Freelance
- Developing a multi-class classification model to predict plant composition and its spatial and temporal changes using predictors, including satellite image, climate time series, and other environmental data such as land cover, human footprint, bioclimatic, and soil variables. The goal is to enhance biodiversity management, improve species identification tools and support educational efforts.
- Developing recommender systems using contextual bandits for an e-commerce platform.
- Building deep neural network models that predict flood-affected areas.
Jan 2022 - Mar 2023
3 months Munich, Germany
Lead Data Scientist
Daiichi Sankyo
- Leading and coaching a team of data scientists in developing advanced analytic models and bringing them to production.
- Coordinating the implementation of data science best practices and liaising with the data engineering and IT team in setting up the infrastructure needed and monitoring the guidelines implementation and governance.
- Conducting advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance within the DS models.
- Engineering features by using business acumen to find new ways to combine disparate internal and external data sources.
- Coordinating with data engineers, business leads, commercial, and IT to deliver holistic analytical solutions that are seamlessly incorporated into analytic data products.
- Ensuring functionality and insights in "run" through timely analysis and testing for regular maintenance of solutions over time.
- Liaising with stakeholders to disseminate AA-driven culture by supporting the business analytic translator in communicating the design, functioning, and output of the analytical models/solutions developed.
- Advocating the value of data-driven decision-making, focusing on the "how and why" of solving problems and educating translators in data science models.
Apr 2018 - Dec 2022
4 years 9 months Munich, Germany
Data Science Consultant
Capgemini Engineering
- Developing informed machine learning algorithms to enhance pedestrian detection, lane change, and rule-breaking scenarios in autonomous vehicles.
- Setting up big data pipelines in AWS for test and verification of ADAS functions.
- Created pipeline and dashboard for monitoring data ingestion and storage using Elastic Stack (Beats, Logstash, Elasticsearch, and Kibana).
- Integrating new data by creating a full pipeline from ingestion to ETL process pipelines using Airflow; the automated ETL pipelines extract 3TB of data per month.
- Coordinating and collaborating with multiple departments and stakeholders to collect team data requirements and developing a data strategy to support them in making data-driven decisions.
- Developed machine learning algorithms used to increase efficiency in drug discovery by automating the identification of monoclonal wells.
- Built real-time monitoring and advanced analytics of data from a battery storage farm using IoT Hub, Blob storage, Stream Analytics, SQL, Power BI.
- Working in an agile team, which strongly believes in the culture of shared code ownership, pair programming, and code reviews.
Jun 2014 - Mar 2018
3 years 10 months Weßling, Germany
Research Scientist
German Aerospace Center (DLR)
- Designed and developed a system prototype that automatically classifies and recognizes specific objects from huge amounts of satellite images from different satellite sensors.
- Automatic feature detection from 1000 satellite images using convolutional neural networks (CNN).
- Defined output data product formats with automatic annotation and interfaces to enable users appropriate and effective access to the data.
- Assisted in developing in-house software for satellite data processing.
May 2013 - May 2014
1 year 1 month Germany
Research Scientist
University of Bonn
- Developed quantum impurity model techniques (NRG and Monte Carlo) to simulate strongly correlated electron systems in condensed matter physics.
- Created software in C/C++ for parallel computing using hybrid parallelization techniques (MPI and OpenMP).
- Developed software in Python for data visualization using Seaborn.
Apr 2013 - Apr 2013
1 month Germany
Ph.D. “Magna Cum Laude” Physics
University of Bonn
Numerical renormalization Group Studies of the Partially Broken SU(3) Kondo Model
Aug 2009 - May 2014
4 years 10 months Germany
System Admin HPC Cluster
University of Bonn
- Implementation, administration, monitoring, and optimization of Linux cluster computing servers.
- Configure high-performance data storage/RAID, archiving, and networking in a mixed NFS/CIFS environment.
Jul 2006 - Jul 2006
1 month Cameroon
M.Sc. Physics
University of Yaounde 1
Monte Carlo Simulation of the Potts Model
Sep 2004 - Jun 2008
3 years 10 months Yaoundé, Cameroon
Physics Teacher
English High School
Mar 2003 - Mar 2003
1 month Cameroon
B.Sc. Physics
University of Yaounde 1
Summary
Highly accomplished data scientist with a strong background in theoretical physics, offering expertise in data analysis, machine learning, and statistical modelling.
Possessing a PhD in Theoretical Physics, I have successfully transitioned my skills and knowledge across diverse industries, including aerospace, automotive, and pharmaceuticals.
With a proven track record as a research scientist, data science consultant, and lead data scientist, I excel at solving complex problems and delivering actionable insights to drive strategic decision-making.
Languages
ag
Native
English
Advanced
French
Advanced
German
Intermediate
Education
Oct 2010 - Apr 2013
University of Bonn
Ph.D., Numerical renormalization group studies of the partially broken SU(3) Kondo model · Physics · Bonn, Germany · Magna Cum laude
Oct 2004 - Jul 2006
University of Yaounde 1
M.Sc., Monte Carlo simulation of the Potts model · Physics · Yaoundé, Cameroon
Oct 2000 - Mar 2003
University of Yaounde 1
B.Sc. · Physics · Yaoundé, Cameroon
Certifications & licenses
Big data analytics on AWS
Blockchain basics and smart contracts
DevOps on AWS
Prince2 foundation course in project management
Spark and Python for Big Data with PySpark
The ultimate hands-on Hadoop – Tame your Big Data
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