Edo Danilyan is a fresh graduate from the Institut Teknologi Sepuluh Nopember, where he focuses on data analytics and computational biology. Edo has a wealth of experience in project design and management, data analysis and interpretation, and the development of research tools. He is known for his innovative thinking and his ability to come up with practical solutions to complex problems. His colleagues describe him as a driven, resourceful person who remains positive and proactive even in the face of challenges.
See my data visualization portfolio here.
See also my photography portfolio here.
Download my resumé.
MSc in Biology, 2021-2023
Institut Teknologi Sepuluh Nopember
BSc in Biology, 2018-2022
Institut Teknologi Sepuluh Nopember
Data wrangling and manipulation (tidyverse), data visualization (ggplot2, plotly), reporting (Rmarkdown, Bookdown, blogdown), and base R
Basic algebra and mathematics, data distribution, data analytics, hypothesis testing, and probability
Portrait, landscape, architecture, interior, and product
A mini mentoring project for undergraduate student, the overall goal of the mentoring project is to provide guidance and support to students in their academic and personal development. The objective of the project is to help students navigate their undergraduate years successfully and provide them with the resources they need to succeed in their chosen field of study.
The Mangrove Sister School program is one of the programs that provides educational value to the surrounding community in the context of a mangrove restoration program with the Coastal and Marine Biodiversity Reserve concept which has been held by Pertaminas EP and Agrie Conservation in Lembung Paseser.
The research project on biodiversity assessment in Alas Karetan forests aims to comprehensively analyze the ecological diversity within forest ecosystems. Utilizing advanced techniques such as remote sensing, and ecological modeling. The study explores flora and fauna present in diverse forest habitat by evaluating species richness, and ecological interactions
Welcome to the computational microbiology, a key component of our Microbial Systematic course. This project aims to provide students with a hands-on experience in studying and understanding the vast world of microbial life. This project will enhance your knowledge of microbial taxonomy, classification, and identification.