Evaristus Fuh Chuo

Senior Data Scientist

Friedberg, Deutschland

Erfahrungen

Juni 2023 - Bis heute
1 Jahr 11 Monaten
München, Deutschland

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 floods affected areas

Jan. 2022 - März 2023
3 Monaten
München, Deutschland

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 & 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 focusing on the "how and why" of solving problems and educating Translators in Data Science Models

Apr. 2018 - Dez. 2022
4 Jahren 9 Monaten
München, Deutschland

Data Science Consultant

Capgemini Engineering

  • Developing informed machine learning algorithms to enhance pedestrian detection, lane change and rule breaking scenarios in autonomous vehicles

  • Setup of big data pipelines in AWS for Test and Verification of ADAS functions

  • Created pipeline and dashboard for monitoring data ingest 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 3 TB of data per month

  • Coordinating and collaborating with multiple departments and stakeholders to collect each team data requirements and developing a data strategy to support them in making data driven decisions

  • Developed machine learning algorithms used to increased efficiency in drug discovery by automating the identification of monoclonal wells

  • Build 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

Juni 2014 - März 2018
3 Jahren 10 Monaten
Weßling, Deutschland

Research Scientist

German Aerospace Center (DLR)

  • Designed and developed a system prototype which automatically classify and recognize specific object from huge amount of satellite images of different satellite sensors

  • Automatic feature detection from 1000 satellite images using convolution neural network (CNN)

  • Defined the 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

Mai 2013 - Mai 2014
1 Jahr 1 Monate
Bonn, Deutschland

Research Scientist

University of Bonn

  • Developed quantum impurity model technique (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 technique (MPI and OpenMP)

  • Developed software in python for data visualization using Seaborn

Aug. 2009 - Mai 2014
4 Jahren 10 Monaten
Bonn, Deutschland

System Admin HPC Cluster

University of Bonn

  • Implementation, administration, monitoring and optimization of linux cluster of computing servers

  • Configure High Performance Data Storage/RAID, Archiving and Networking in a mixed NFS/CIFS environment

Sept. 2004 - Juni 2008
3 Jahren 10 Monaten
Yaoundé, Kamerun

Physics Teacher

English High School

Zusammenfassung

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.

Sprachen

Englisch
Verhandlungssicher
Französisch
Verhandlungssicher
Deutsch
Fortgeschritten

Ausbildung

Okt. 2009 - Apr. 2013

University of Bonn

Ph.D. · Physics · Bonn, Deutschland · Magna Cum laude

Okt. 2003 - Juli 2006

University of Yaounde 1

M.Sc. · Physics · Yaoundé, Kamerun

Okt. 2000 - März 2003

University of Yaounde 1

B.Sc. · Physics · Yaoundé, Kamerun

Zertifikate & Bescheinigungen

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