COMPUTER AND PROGRAMMING SKILLS:
- Expert in programming with R, Python, C/C++, Stan, SAS, STATA, SPSS, Maple, Matlab, WinBUGS, Minitab, Arc GIS, LATEX, EpiInfo and EpiData
- Expert in web designing using HTML, PHP, Macromedia Dreamweaver and MS-FrontPage
- Expert in graphic designing software using Adobe Photoshop, Adobe Premier, Macromedia Flash MX and actionscript coding, Multimediabuilder, Firework, and Adobe Acrobat
- Expert in using advanced functions in MS-Excel, MS-Access, MS-Word, MS-PowerPoint and Endnote
- Expert in hardware installation & Network setting up
SOFTWARE PACKAGES:
- BPSPP: A stan function for fitting Bayesian Penalized Spline of Propensity Prediction (PSPP) in non-probability samples, written in stan, 2020. [GitHub]
- DRInfNPS: A set of R functions for doubly robust inference for non-probability samples in presence of a relevant reference survey, written in R, 2020. [GitHub]
- ARHMM: a Modified Autoregressive Hidden Markov Model with Applications in Infectious Diseases Modeling, written in both C++ and R, 2016. [GitHub]
- SVYAAM: design-based adjustment for finite population inference in Aalen’s additive hazard model, written in R/C++, 2018. [GitHub]
- calibrate: a function for calibrating non-probability samples using quasi-randomization approach, written in R, 2017. [GitHub]
Further detail about my research experience can be found in my CV.
