AKM Azad

A research scientist, who is confident and well-versed in advanced Data Science and DBMS literacy empowered by numerous tools/platforms and in-house scriptings, hosted in both High-performance Computing and Cloud environments. Ever-enthusiast to contribute to enhancing peoples' lives and experiences by applying Artificial Intelligence, Machine Learning, and Deep Learning. Key skills: Artificial Intelligence | Deep Learning | Data Science | Bioinformatics | Technical Skills: • R&D technologies: Full-stack Data Science literacy | Nextflow | Keras | Pytorch | Data Analysis | Machine learning | Data analysis | Computational cancer genomics | Computational Biology | Bioinformatics | NGS | Data integration | Bayesian statistical modelling | Natural language generation | Artificial intelligence | MCMC sampling | Bayesian Network | WinBUGS | JAGS | NeticaJ APIs | AgenaRisk APIs • Programming languages: C#.Net | VB.Net | Java/J2EE | Python | MATLAB | C | R • Web technologies: ASP.Net MVC | REST | Web APIs | HTML | CSS3 | JavaScript | Jquery | D3.js | Ajax | XML | JSON | Xampp • IDEs: VSCode | MS Visual Studio | Eclipse | Xamarin | IntelliJ Idea | Xcode | RStudio | Shiny | PyCharm • Database technologies: MongoDB | Microsoft SQL Server | Oracle | MySQL | MS Access | ADO.Net | ODBC | OLE DB • Version control and collaboration tools: Git | GitHub | Bitbucket • Development platforms: Windows | Linux | Mac | IOS • Teaching experience: 5+ years of teaching experience as a teaching associate at Monash University (Artificial Intelligence | Algorithmic problem solving | Algorithms and programming | Introduction to computer science | Discrete mathematics | Techniques for modelling | Research Methods) Career Summary: • Adept in research, analysis, and software development including design, implementation, debugging, integration and testing • 4+ years of proven Australian experience in software development and research work • Highly adept in Agile software development lifecycle (SDLC) in large-scale enterprise solutions • Extensive research experience in the area of computational biology, bioinformatics, machine learning, data analysis and statistical modeling • 14+ years of active involvement in programming, algorithm development, and experienced in solving complex problems • Flexible, organized and excellent team player with quick learning ability to adapt to rapidly changing technological challenges