Sam Jraiw Email & Phone Number

Training and supervising team members in Data Science, Data Linkage Methodology and Project Management Creating new versions of the PLIDA Person Linkage Spine (An Australia wide linkage map) in conjunction with other team members by adding new records from the core datasets to the spine and updating existing records Creating programs to process new data.

Brisbane, Australia

• Creating a R package for the use of productivity and efficiency analysis for researchers to allow them to quickly generate economic statistics using complex mathematical formula
• Developing easy to use graphing functions in R that allow users to generate heat maps, histograms and other commonly used plots
• Optimizing the speed of R code to make it run more efficiently. Speeds were successfully increased by switching to more efficient linear programing packages and changing data formats
• Writing R package documentation including metadata for datasets and adding help pages within R for functions to allow users to understand how to use the package
• Improving the user friendliness of the R package being developed by creating a point and click interface for users with little familiarity in R to access easily

• Undertaking market research in order to determine the market share of National Research Council clients within Canada and globally. The market research is used to justify assumptions that are used to in the.
• Conducting cost-benefit analysis using a standardized methodology to evaluate the potential economic impact research programs with tens of millions of dollars’ worth of investment would have on the Canadian economy
• Comparing the economic impact of various National Research Council programs in a report to inform senior management of the net benefits each of the programs generates to the Canadian economy. The report also explores.

• Built SAS scripts to create a classification scheme of price index data into a format readable by the division’s Oracle database and afterwards building the price index from the industry to product levels. This data.
• Created SAS Macros to verify if input files had observations, the expected number of variables and if they had data ranging from the current month back to a specified revision period. If the input file had the wrong.
• Researched price index methodology for the Price Index Evaluation working group in order to establish clear criteria for assessing the reliability and usefulness of each price index
• Constructed a SAS script to collect a geometric mean of price data of small and medium sizes firms and then comparing the results with an arithmetic mean. The results were conveyed in a report along with a.

• Analyzed results of university surveys and preparing statistical summaries to university stakeholders in an accessible manner
• Designed regression models that measured the correlation between student debt and demographic variables such as age and citizenship
• Provided data requests to various university stakeholders such as a time series of grants from the different granting councils
• Built and tested new surveys taking into account the needs of different campus service providers
• Developed scripts in SPSS to conduct a wide array of tasks including data cleansing and running statistical tests

Master Of Applied Econometrics, Econometrics

Bachelor Of Arts Honors, Economics Co-Op Option