I am a seasoned portfolio manager and data scientist with experience in broad ranging global, international and emerging markets equity strategies. The majority of my experience has centered around my data science background: starting with mathematical and statistical programming, progressing onto researching and implementing quantitative models, developing analytical reporting and performance analysis processes predominantly in R relying heavily on the full suite of RStudio tools as a development and production environment.
Having had a really awesome, fun and rewarding career in finance, I have decided that I would like to refocus my analytic domain.
I am currently interested in analyzing and working to improve the effectiveness of global health care models. I am very interested in applying data science techniques and processes within a health care environment focused on improving all facets of health care outcomes.
In 2021, I started focusing my energy on developing hands on experience with some of the new data analytic technologies available in health care workflows.
Along these line, I started with getting the Citi Program certification for Data or Specimens Only Research.
Then between March and September, I completed several verified certificate courses on edX and Coursera covering broadband data science for health care.
The first, offered by MITx on edX focused on secondary analysis of patient records captured in the MIMIC-III SQL database comprising de-identified health-related data associated with over forty thousand patients who stayed in critical care units.
I also completed the edX HarvardX professional series Data Analysis for Genomics which included two pre-requisite courses in high-throughput statistical inference and analysis, and three courses of data analysis applications using R and Bioconductor. These covered hands-on applications using genome-scale data structures, mastering genomic ranges and annotation, inference for computational biology, case studies in RNA-seq, analyzing DNA methylation data and analyzing ChIP-seq datasets, and advanced Bioconductor applications focused on enhanced throughput, interactivity and reproducibility.
Take a look at my resume and some of the topic specific pages on the website to see how I have been progressing on the transition so far.