At Codera, we structure public, semi-structured economic data into a tidy format. We manage data and make it accessible on EconData (www.econdata.co.za) through an API, or more easily with our R package install_github("coderaanalytics/econdatar"), Excel Add-In, or Python package. This enables automation of analyses.When ingesting a new data source, I conceptualize how it can be organised hierarchically, sythesizing as simple a structure as possible. I write meta-data during this… Show more At Codera, we structure public, semi-structured economic data into a tidy format. We manage data and make it accessible on EconData (www.econdata.co.za) through an API, or more easily with our R package install_github("coderaanalytics/econdatar"), Excel Add-In, or Python package. This enables automation of analyses.When ingesting a new data source, I conceptualize how it can be organised hierarchically, sythesizing as simple a structure as possible. I write meta-data during this process, and write engineering code in R to extract and wrangle the data tables. Once a dataflow is developed, we keep the dataset up-to-date with new releases. I am also a keen trainer and mentor for these topics. I consider myself good at project management (using task management apps), and I have been assigned a few employees to oversee over time.We are quite focused on how we can automate tasks within the company. I have developed a few dashboards, to monitor the health of our data across our products, and I maintain these. I have also set up bots that feed us useful information.I develop Shiny web apps (dashboards built in R). This work focuses on data visualization, user experience, testing, mobile responsiveness, loading speed and architecture.I get involved with marketing a bit, including blog posts, data visualization, showcase videos of our products, and presentations. I maintain our user guide for our data sources on the EconData Blog; I generally engage in web development very often, and I have adequate SEO skills.Codera consults on macroeconomic projects, for clients in government and in the finance industry. We forecast public expenditure and macroeconomic indicators.In this job, the technologies I mainly use include R, VS Code, Git, GitHub, SQL, Markdown, Google Workspace (Chat, Meet, Calendar, Drive, Gmail, Docs, Sheets), Redmine, Excel or LibreOffice, and WordPress. Show less

Research on: • Social insurance, including — South Africans' lifetime income smoothing, relating to pension policy. — Data used: — — Tax data (income reported to SARS). This involves being in the National Treasury to analyze the data in-person. — — The official labour force data (PALMS) has been used for my other work. — I simulated the potential fiscal cost of alternative unemployment insurance schemes; • Occupations: — composition and trends in the labour… Show more Research on: • Social insurance, including — South Africans' lifetime income smoothing, relating to pension policy. — Data used: — — Tax data (income reported to SARS). This involves being in the National Treasury to analyze the data in-person. — — The official labour force data (PALMS) has been used for my other work. — I simulated the potential fiscal cost of alternative unemployment insurance schemes; • Occupations: — composition and trends in the labour market; — within- and between-occupation earnings inequality; — analyzing the heterogeneity of skills and tasks by occupation.• Levels of earnings and employment across industries over time: — comparing across datasets; and — in relation to the covid-19 pandemic shock.Working papers:• Occupational Polarization in South Africa: Evidence from the Post-Apartheid LabourMarket Series. (Forthcoming)• Labour Market Effects of the Great Lockdown in South Africa: Earnings and Employment During 2020–2022• Employment and Earnings by Industry Before Covid-19• South Africa's Unemployment Insurance Fund Benefit Function: A Mathematical Critique Show less

Research on occupational earnings. Descriptive socioeconomic data analysis, on income and earnings inequality. Policy advice on unemployment benefits - estimating the cost of TERS during the covid-19 lockdown. Data cleaning, related to a business lockdown survey. Learning R. Evaluating inflation indices.

Reporting macroeconomic and socioeconomic statistics.

Jan–Feb 2023: Masters/PhD Stata and Dynamic Optimization tutor (ECO5011F)Tutoring postgraduate economics students (Masters/PhD coursework):• A very first introduction to Stata ( https://tutoring.eco5011f.co.za/coding/stata-intro )• Dynamic OptimizationFeb–April 2021: Masters mathematical economics tutor (ECO5011F)Compiling worksheet solutions, and running online tutorials with the class.• 1st year statistics (probability theory)• 2nd year mathematics (linear… Show more Jan–Feb 2023: Masters/PhD Stata and Dynamic Optimization tutor (ECO5011F)Tutoring postgraduate economics students (Masters/PhD coursework):• A very first introduction to Stata ( https://tutoring.eco5011f.co.za/coding/stata-intro )• Dynamic OptimizationFeb–April 2021: Masters mathematical economics tutor (ECO5011F)Compiling worksheet solutions, and running online tutorials with the class.• 1st year statistics (probability theory)• 2nd year mathematics (linear algebra, real analysis)• Dynamic optimisation (including Hamiltonians) —useful in applied macroeconomic modelling or natural resource economics. Show less

Statistics, economics, modelling and data visualization. Python and Git. APIs, algorithmic cryptocurrency trading.

Creating and editing BI reports, with Tableau or Pyramid Analytics. Our clients are manufacturers in the fast-moving consumer goods (FMCG) industry, and the dashboards we deliver show them how their products are performing in the market. My duties include checking the cleansing of retail scan data, editing Tableau reports, creating Tableau Data Extracts (TDEs) from the SQL databases, and refreshing data extracts / reports in Tableau Server. I collaborate in a team and the company has a… Show more Creating and editing BI reports, with Tableau or Pyramid Analytics. Our clients are manufacturers in the fast-moving consumer goods (FMCG) industry, and the dashboards we deliver show them how their products are performing in the market. My duties include checking the cleansing of retail scan data, editing Tableau reports, creating Tableau Data Extracts (TDEs) from the SQL databases, and refreshing data extracts / reports in Tableau Server. I collaborate in a team and the company has a remote-working structure, with an app stack that includes Office, Outlook, Teams, SharePoint, Jira, Tableau, and Miro. We use an Agile project management methodology. The delivery process is spread across various roles, from engineers, data scientists, operations analysts, data vizualisers (that's me), client success executives, and managers. Show less

Cleaning raw survey data; visualizing data graphically (processing in Stata, compiling the reports in LyX); wrangling data into summary reports in Excel.Discovering and initiating novel automated processes for data collection (using APIs in R, and Azure as a host server).

Searching for relevant literature related to (behavioural economics) research topics, collecting the papers together in structured catalogues, and synthesizing summary reports for each catalogue.

One-on-one high-school mathematics tutoring

Tutoring high school students in their home.