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Data Analyst Office

Location:
Pretoria, Gauteng, South Africa
Posted:
October 21, 2020

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Resume:

*

Vuyani Mqekele

*** ****, **** ******, *********, Klerksdorp, 2574

*************@*****.***

060-***-****

Education

North West University (Potchefstroom Campus)

Bachelor of Science in Actuarial Sciences (BMI) December 2015

Coursework: Calculus, Linear Algebra, Descriptive Statistics, Inferential Statistics, Statistical Modelling, Time Series Analysis, Financial Mathematics, Survival Analysis, Stochastic Process, Contingencies, Actuarial Statistical Models, Accounting, Economics, Business Ethics and Financial Management.

Are-Fadimeheng High School

National Senior Certificate (NSC) December 2010

School subjects: English (FAL), Afrikaans (SAL), IsiXhosa (HL), Mathematics, Physical Sciences, Life Sciences, and Life Orientation.

Skills

Microsoft Office

Advanced Excel

VBA

R

SAS

SQL

Data Collection

Data Manipulation

Data Visualization

Data Cleaning

Descriptive Statistics

Inferential Statistics

Statistical Modelling

Portfolio Analysis

Asset Allocation

Portfolio Optimization

Capital Markets

Investment Analysis

Research

Communication

Presentation/Reporting

Teamwork

Adaptability

Flexibility

Organizational

Analytical

Time management

Interpersonal

2

Employment History

Public Investment Corporation SOC

Research and Project Development Graduate July 2018 – June 2020

Capturing or extracting investments deals data into a structured data format to perform analysis on the data and report back to business so they may understand the investments deals in the pipeline in order to make informed investments decision.

Researching African countries which have an investment opportunity by analyzing the country’s economic performance using macroeconomic factors, political climate, National Development Goals, sector performance and risks to mitigate.

Researching about global investment trends/thematic themes to update investment professionals/business on new investment opportunities, arising risks and how to adapt the client’s portfolio to current trends.

Building portfolio construction models to test how various models such as modern portfolio, Resampled efficiency and Black Litterman will have impact on asset classes’ weights, performance, and risk in the client’s portfolio.

Certifications

Datacamp

Data Analyst with R

Datacamp

Data Scientist with R



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