Work With High Performing Talent On Demand
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Work With High Performing Talent On Demand
Work With Talent
Data Science Developer
Didi Adisaputro
With 10+ experience in data analytics, R development, & engineering.
Didi Adisaputro is a data scientist with over a decade of experience in data analytics, R development, data management, engineering, machine learning, big data, and data intelligence. He has profound experience in automation, building R Shiny dashboard, and data science pipeline build. As a climate intelligence section head at Golden Agri-Resources (GAR), he performs exploratory data analysis using R/Python and presents insights to business stakeholders to drive strategic decisions. His technical skills also include Keras and TensorFlow.
Didi Adisaputro
With 10+ experience in data analytics, R development, & engineering.
Data Science Developer
Didi is Available for Projects
Work with DidiEmployment Highlights
Climatology Section Head
Golden Agri-Resources (GAR)
July 2021 - Present (4 years 4 months)
Data Analyst
INRAE
November 2017 - February 2021 (3 years 4 months)
Research Engineer
Georesources
November 2017 - November 2019 (2 years 1 month)
Education Highlights
Doctor of Philosophy (PhD), Geosciences (Geological & Earth Sciences)
Universite de Lorraine
November 2017 - November 2021 (4 years 1 month)
Master of Science in Engineering, Environmental and Energy Engineering
The University of Sheffield
September 2015 - November 2016 (1 year 3 months)
Bachelor of Science, Chemical Oceanography
Universitas Diponegoro
September 2009 - November 2013 (4 years 3 months)
Portfolio
Frontiers
Carbon Capture and Storage and Carbon Capture and Utilization: What Do They Offer to Indonesia?
Climate Prediction using Machine Learning
MDPI
Baseline Subsoil CO2 Gas Measurements and Micrometeorological Monitoring: Above Canopy Turbulence Effects on the Subsoil CO2 Dynamics in Temperate Deciduous Forest
Web apps for supporting day to day operation
HD Skill Assessment_Technical Report
Frontiers
Carbon Capture and Storage and Carbon Capture and Utilization: What Do They Offer to Indonesia?
Climate Prediction using Machine Learning
MDPI
Baseline Subsoil CO2 Gas Measurements and Micrometeorological Monitoring: Above Canopy Turbulence Effects on the Subsoil CO2 Dynamics in Temperate Deciduous Forest
Web apps for supporting day to day operation