My stack - Software, tools & frameworks I love to work with
Python
Scikit-learn
Pandas
Excel
SQL
NLTK
Weka
TensorFlow
ggplot2
Anaconda
About me
I am Mahmoud Nasr. I am a junior researcher who has about 5 years of research experience in the field of Machine Learning, pattern mining, and rule induction. Through my master's studies, I have published two peer-reviewed articles. Recently, the core contribution of my research in the unique class-based association rule mining is published in one of the most important journals of Computer Science which is Elsevier Expert Systems with Applications. I have applied my proposed uniqueness rule mining methods in several domains like bioinformatics, Discovery of Unique Column Combinations, Case-Based Reasoning Indexing, extraction of biomarkers, and NLP.
I got my BSc from the faculty of Computers and Informatics at Zagazig University – Egypt in May 2006. Then, I got my MSc from the faculty of Computers and Information Sciences at Ain Shams University - Egypt in April 2019.
From a practical and technical perspective, I used to participate in large scale developing projects which have added several hands-on and practical and technical skills in web development, databases and data processing, big data, data migrations, data analysis, and building reporting systems. Moreover, I consider myself a master in several technologies like Python, R, C#, Dotnet Core, Java, JavaScript, and Typescript, also web frameworks like asp.net Core, Angular, and Django with more than 5 years of developing experience.