Dimas B. Santoso

Data Scientist

https://talent.gravityer.com/dimas-b-santoso

Software Engineer

Member since June 25, 2026

Key Strengths

Demonstrated interest in data science concepts through personal projects like 'Feature Selection using Genetic Algorithms', 'Simple Neural Network', and 'NaiveBayes'.
Experience with Python and Jupyter Notebook, which are core tools in data science.
Exposure to various normalization techniques (MinMax, Z-Score, Decimal Scaling, Sigmoidal, Softmax) indicates foundational understanding of data preprocessing.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration across different programming languages (Go, PHP, Java, Python) and data science concepts. This self-driven learning approach could indicate a good cultural fit for an environment that values continuous improvement and initiative. However, the lack of team projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

task

March 29, 2021 – March 31, 2021

task — GitHub repository

View Project

example

November 5, 2020 – November 6, 2020

example — GitHub repository

View Project

candi

September 26, 2020 – Present

A backend project library & utilities

View Project

DataPreliminaryTest

November 16, 2018 – January 9, 2019

Data Preliminary Test

View Project

FeatureSelectionGeneticAlgorithms

August 29, 2018 – August 29, 2018

Feature Selection using Genetic Algorithms

View Project

LazyAlgorithm

August 29, 2018 – August 29, 2018

Lazy Algoritm (Find S)

View Project

SimpleNN

August 29, 2018 – August 29, 2018

Simple Neural Network to predict Hipertension

View Project

NaiveBayes

August 29, 2018 – August 29, 2018

NaiveBayes

View Project

image_retrieval

December 10, 2017 – August 29, 2018

Image Retrieval (Content Based)

View Project

normalization

December 6, 2017 – December 6, 2017

Normalization using MinMax, Z-Score, Decimal Scalling, Sigmoidal, Softmax

View Project

Key Strengths

Demonstrated interest in data science concepts through personal projects like 'Feature Selection using Genetic Algorithms', 'Simple Neural Network', and 'NaiveBayes'.
Experience with Python and Jupyter Notebook, which are core tools in data science.
Exposure to various normalization techniques (MinMax, Z-Score, Decimal Scaling, Sigmoidal, Softmax) indicates foundational understanding of data preprocessing.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Dimas B. Santoso

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit