Evaristus (Fuh) Chuo
Data Scientist
Experience
Data Scientist
Freelance
- Developing a multi-class classification model to predict plant composition and its spatial and temporal changes using predictors, including satellite images, climate time series, and other environmental data such as land cover, human footprint, bioclimatic, and soil variables.
- Developing recommender systems using contextual bandits for an e-commerce platform.
- Building deep neural network models that predict flood-affected areas.
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 teams in setting up the infrastructure needed and monitoring guideline implementation and governance.
- Conducting advanced statistical and other analyses to provide actionable insights, identify trends, and measure performance within the data science 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 an AA-driven culture by supporting the business analytic translator in communicating the design, functioning, and output of the analytical models and 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.
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.
- Creating pipelines and dashboards for monitoring data ingestion and storage using the Elastic Stack (Beats, Logstash, Elasticsearch, and Kibana).
- Integrating new data by creating a full pipeline from ingestion to ETL processes using Apache Airflow, extracting 3 TB of data per month.
- Coordinating and collaborating with multiple departments and stakeholders to collect team data requirements and developing a data strategy to support data-driven decisions.
- Developing machine learning algorithms to increase efficiency in drug discovery by automating the identification of monoclonal wells.
- Building real-time monitoring and advanced analytics of data from a battery storage farm using IoT Hub, Blob storage, Stream Analytics, SQL, and Power BI.
- Working in an agile team with a culture of shared code ownership, pair programming, and code reviews.
Research Scientist
German Aerospace Center (DLR)
- Designed and developed a system prototype to automatically classify and recognize specific objects from large volumes of satellite images from different sensors.
- Performed automatic feature detection from 1,000 satellite images using convolutional neural networks (CNNs).
- Defined output data product formats with automatic annotation and interfaces to enable appropriate and effective user access to the data.
- Assisted in developing in-house software for satellite data processing.
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.
System Admin HPC Cluster
University of Bonn
- Implemented, administered, monitored, and optimized a Linux cluster of computing servers.
- Configured high-performance data storage/RAID, archiving, and networking in a mixed NFS/CIFS environment.
Physics Teacher
English High School
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Education (8.5 years), Pharmaceutical (5 years), Automotive (4.5 years), Energy (4.5 years), Space Exploration (4 years), and Agriculture (2.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (12.5 years), Information Technology (9.5 years), Product Development (8.5 years), Business Intelligence (7.5 years), and Operations (4.5 years).
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.
Skills
- Python (Pandas, Numpy, Keras, Tensorflow, Matplotlib, Scikitlearn, Seaborn)
- Sql, Nosql
- Shell Scripting
- Git, Jira, Confluence, Ansible, Vcenter
- Feature Engineering
- Etl Pipelines
- Machine Learning
- Conformal Prediction
- Databricks, Kubernetes
- Visualization (Powerbi, Kibana)
- Dockers, Vs Code
- Basics Of Project Management
- Apache Airflow
- Big Data: Hadoop Ecosystem, Elastic Stack, Microsoft Azure
- Sql Databases
- Aws (S3 Storage, Step Function, Lambda Function, Glue, Databases, Kinesis, Sagemaker)
- Data System Architecture Design
Languages
Education
University of Bonn
Ph.D., Magna Cum laude, Numerical renormalization Group Studies of the Partially Broken SU(3) Kondo Model · Physics · Bonn, Germany
University of Yaounde 1
M.Sc. Physics, Monte Carlo Simulation of the Potts Model · Physics · Yaoundé, Cameroon
University of Yaounde 1
B.Sc. Physics · 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
Profile
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