An expert in High dimensional data analysis and good at handling big data using exploiting multicore programming in R program.
Discipline - Genetics:
High dimensional genomic data analysis, genomic predictions, GWAS (Genome wide Association Study), and multiseason phenotypic data analysis.
Discipline - Financial analytics:
Experienced in assessing VaR, forecasting using different models like GARCH and uGARCH, risk assessment etc..
Predictive models:
Worked on predictive models using different types of regression and cross validation of models.
Shiny :
Created a shiny dashboard using predictive models.
Basic statistics and Machine learning:
I can do all the low level statistical analysis like PCA, MDS, descriptive statistics, correlation, regression, t , f, and chi square test etc. Also high level machine learning like clustering, networking etc.
Data visualizations:
I can create any visuals in R you need based on the data. Any vizuals form the R- graph gallery can be made