Laique M. Djeutchouang, Phd
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Laique M. Djeutchouang, Phd Email & Phone Number

๐Ÿ“Šย Research ๐Ÿ“š AI ๐Ÿค– Earth Systems & Climate ๐ŸŒ Machine Learning ๐Ÿค– Data Science & Visualization ๐Ÿ“Š Programming ๐Ÿ‘จ๐Ÿพโ€๐Ÿ’ปย High Performance Computing at School for Climate Studies
Location: City of Cape Town, Western Cape, South Africa 10 work roles 4 schools
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๐Ÿ“Šย Research ๐Ÿ“š AI ๐Ÿค– Earth Systems & Climate ๐ŸŒ Machine Learning ๐Ÿค– Data Science & Visualization ๐Ÿ“Š Programming ๐Ÿ‘จ๐Ÿพโ€๐Ÿ’ปย High Performance Computing
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City of Cape Town, Western Cape, South Africa

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Laique M. Djeutchouang, Phd is listed as ๐Ÿ“Š Research ๐Ÿ“š AI ๐Ÿค– Earth Systems & Climate ๐ŸŒ Machine Learning ๐Ÿค– Data Science & Visualization ๐Ÿ“Š Programming ๐Ÿ‘จ๐Ÿพโ€๐Ÿ’ป High Performance Computing at School for Climate Studies, based in City of Cape Town, Western Cape, South Africa. AeroLeads shows a matched LinkedIn profile for Laique M. Djeutchouang, Phd.

Laique M. Djeutchouang, Phd previously worked as Postdoctoral Research Fellow at School For Climate Studies and Research & Support Scientist @SOCCO at Council For Scientific And Industrial Research (Csir). Laique M. Djeutchouang, Phd holds Doctor Of Philosophy - Phd, Ocean And Atmosphere Science from University Of Cape Town.

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About Laique M. Djeutchouang, Phd

Laique is a Research Scientist with a strong background and foundation in mathematics and statistics (both in theory and applications), and scientific computing. As an enthusiast of data science and AI, he has become a practitioner of machine learning APIs (TensorFlow, Keras, Scikit-learn), and data processing and visualisation APIs (Numpy, Pandas, Xarray, Matplotlib, Seaborn, Cartopy). He is quite passionate and particularly interested in leveraging cutting-edge machine learning, AI, and data analytics techniques and APIs to develop data-driven solutions for complex real world problems such as computer vision problems in healthcare industry and others.His skills include the following, but not limited to: ยบ Scientific Research. ยบ Data Analytics and Visualisation.

Listed skills include Statistics, Research, Data Analysis, Machine Learning, and 22 others.

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School for Climate Studies
School For Climate Studies
๐Ÿ“Šย Research ๐Ÿ“š AI ๐Ÿค– Earth Systems & Climate ๐ŸŒ Machine Learning ๐Ÿค– Data Science & Visualization ๐Ÿ“Š Programming ๐Ÿ‘จ๐Ÿพโ€๐Ÿ’ปย High Performance Computing
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10 roles

Laique M. Djeutchouang, Phd work experience

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Research & Support Scientist @Socco

Current

โ€ข Perform code optimization and parallelization support.โ€ข Update and maintain a two-step machine learning approach (CSIR-ML6) combining the K-Means clustering and a three-member ensemble regression method (Support Vector Machine, Gradient Boosting Machine, and Feed-forward Neural Network).โ€ข Reconstruct the global and regional CO2 exchanges at the interface between the ocean and atmosphere.

Jun 2019 - Present

Earth Science Ai Engineer

โ€ข Researched, tested & developed ML-based plume masking algorithms for use in methane detectionโ€ข Developed a land cover classification model for Sentinel-2 imagery dataโ€ข Code refactoring and optimization (Python)โ€ข Helped deliver pilot and customer satellite-based data

Jun 2022 - Aug 2022

Data Scientist

โ€ข Developed Python programs for web scraping (e.g. LinkedIn, GitHub, Twitter/X, etc.).โ€ข Analyzed and scored 1000s of CVs/Resumes based on job specs.

Oct 2020 - Aug 2021

Summer Research Studentship In Statistics & Data Engineering

14 Buckingham Street, Wc2N 6Df

I worked on the project Anthropogenic Earthquakes: How strong will they be? In fact, earthquakes induced by injections of fluid into the subsurface increasingly threaten people, infrastructure and the energy sector. Although most human-induced earthquakes are small, they can have disproportionate impacts in regions unaccustomed to tectonic activity. Estimating and forecasting the largest magnitude likely to be observed during fluid injections is a critical but difficult challenge. This project aimed to develop a method based on Extreme Value Theory (EVT) to estimate the largest possible magnitudes of earthquakes in multiple fluid-injectionoperations.

Jul 2017 - Aug 2017

Head Teaching Assistant/Tutors'โ€‹ Coordinator

Bagamoyo, Tanzania

My assignments were, but not limited to, to assist the director within the academic program bycoordinating the work of tutors:โ€ข Organize lecturer evaluations, aggregation and reporting.โ€ข Organize, chair and ensure that minutes are taken during academic meetings with tutors team and visiting lecturers.โ€ข Coordinate and administrate the timetable.โ€ข Keep student records.โ€ข Organize and coordinate seminars and talks.

Aug 2016 - Jul 2017

Teaching Assistant And Junior Researcher

Bagamoyo, Pwani Tanzania

My assignments were, but not limited to, tutoring of 54 African Master students in mathematics, statistics and scientific computing as follows:โ€ข Focus on the personal development of students skills and knowledge and lead weeklytutorials such as scientific programming in Python, R, SageMaths, Scilab.โ€ข Organised and lead group and individual tutorial to improve scientific knowledge as well asteam-working and problem-solving skills of students.โ€ข Contribute to the assessment of student performance on a continuous basis, in preparingadditional materials and examples as needed.โ€ข Evaluate homework, tests, and field work and hold office hours to ensure studentsunderstood course concepts.โ€ข This challenging experience also requires me to provide general assistance to the director andthe lecturers with the lessons.

Aug 2015 - Jul 2017

Research Intern In Machine Learning, Statistical Science Dept., University College London

Ucl

Gower Street, London Wc1E 6Bt

I worked on a project of Machine Learning for Predictive Modelling Problems. Specifically, this opportunity allowed me to contribute to a project on Survival Modelling as Predictive Modelling. In a theoretical way I explored a plausible way for benchmarking survival analysis models. The project involved also some practical data analysis, predictive modelling and model selection in the domain application of health and prevention.

Apr 2017 - May 2017
4 education records

Laique M. Djeutchouang, Phd education

Doctor Of Philosophy - Phd, Ocean And Atmosphere Science

Title: Sampling Scale Sensitivities in Surface Ocean pCO2 Reconstructions in the Southern Ocean Used mesoscale-resolving ocean models.

Master'S Degree, Applied Mathematics And Computer Sciences, Distinction With First Class Honours (4.55/5)

African Institute For Mathematical Sciences

Activities and Societies: Public Engagement with Pi day in Tanzania

Bachelor Of Science, Pure Mathematics, Statistics, Probability, Second Class Honors

University Of Yaounde 1

Activities and Societies: Engagement with the mathematics club: Organize seminars of mathematics in school, helped gain an in-depth.

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What company does Laique M. Djeutchouang, Phd work for?

Laique M. Djeutchouang, Phd works for School for Climate Studies.

What is Laique M. Djeutchouang, Phd's role at School for Climate Studies?

Laique M. Djeutchouang, Phd is listed as ๐Ÿ“Š Research ๐Ÿ“š AI ๐Ÿค– Earth Systems & Climate ๐ŸŒ Machine Learning ๐Ÿค– Data Science & Visualization ๐Ÿ“Š Programming ๐Ÿ‘จ๐Ÿพโ€๐Ÿ’ป High Performance Computing at School for Climate Studies.

Where is Laique M. Djeutchouang, Phd based?

Laique M. Djeutchouang, Phd is based in City of Cape Town, Western Cape, South Africa while working with School for Climate Studies.

What companies has Laique M. Djeutchouang, Phd worked for?

Laique M. Djeutchouang, Phd has worked for School For Climate Studies, Council For Scientific And Industrial Research (Csir), Orbio Earth (Yc S23), Ashanti Ai, and London Mathematical Laboratory.

How can I contact Laique M. Djeutchouang, Phd?

You can use AeroLeads to view verified contact signals for Laique M. Djeutchouang, Phd at School for Climate Studies, including work email, phone, and LinkedIn data when available.

What schools did Laique M. Djeutchouang, Phd attend?

Laique M. Djeutchouang, Phd holds Doctor Of Philosophy - Phd, Ocean And Atmosphere Science from University Of Cape Town.

What skills is Laique M. Djeutchouang, Phd known for?

Laique M. Djeutchouang, Phd is listed with skills including Statistics, Research, Data Analysis, Machine Learning, Programming, Python, Analysis, and Microsoft Excel.

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