m*****a

Data Analyst | Researcher | Insights
November 5, 1992

About Candidate

A data analyst and research enthusiast. I have plus 5 years industry experience within the data analytics, research, management consulting and advisory space. I have been exposed to both quantitative and qualitative research spheres. My ability lies within crunching numbers and presenting findings for management to make informed decisions. I utilize industry accepted artificial intelligence tools to build quantitative models. I am dedicated, willing to learn and highly professional individual. I strive for perfection. My strength is on my abilities to solve problems.  I have a strong quantitative background which makes me successful in my roles.

Location

Education

P
PhD 2023
University of the Witwatersrand

A thesis on Artificial Intelligence and marketing. Title: The development of an artificial intelligence adoption framework for food retail marketing industry in South Africa.

M
Masters in Economics 2019
Vistula University

Econometrics, Data Science (R), Economic Forecasting, Business Economics, Mathematical Economics, Macroeconomics, Financial Markets, Statistics, Managerial Economics. Thesis Title: Verification of Bloom’s hypothesis on counter- cyclicality between uncertainty and economic growth

B
Bachelor of Commerce Honors in Risk Management and Insurance 2016
National University of Science and technology

Focused on risk management principles, risk assessment, mitigation, calculations, and overall business analytics.

Work & Experience

D
Data Analyst 03 MAY 2022 - CURRENT
CONSULTA

Duties: Data analytics, research, and reporting. Create reports, whitepaper analysis, presentations, and infographics. • Using both primary and secondary sources, to meet analytics schedules established in conjunction with more senior staff. • Compile and analyze statistical data using modern and traditional data analysis methods. • Strategic planning on deliverables. • Develop and evaluate data collection methods, analysis and interpretation procedures such as database research, existent platforms, and other web-based . • Reporting and presentation of data findings. • Stakeholder engagement, advisory and consulting.

R
Research Assistant 06 April 2021 - 30 April 2022
University of the Witwatersrand

• Involved in Quantitative and Qualitative research within the WBS center. • Data analysis on papers and journals. • Supervise undergraduate students working on the research project on data analysis and results interpretation. • Research on current trends and report writing. • Assist with data collection, analysis for senior researcher and preparing advanced models such as Structural Equation Modelling, CFA and EFA. • Maintaining records on data analysis tasks completion, acting mediator between the juniors and the faculty researchers. • Field research and data collection.

M
Market research analyst 03 June 2019 - 31 December 2020
Star Sign and Print Media

• Contributing to the delivery of marketing projects through market research and documenting clients’ requirements, considering all stakeholders’ interest and data mining. • Performing basic descriptive, predictive, and prescriptive analytics on stakeholder’s data for actionable insights. • Analysis customer trends, purchasing behavior and taste detection. • Customer experience and User assessment through data quantification. • Market research using quantitative and qualitative means. • Design, develop and test evaluation methodologies using analytics tools like Python, R and Excel. • Building dashboards for continued reporting and assessments. • Monitor and evaluate the strategies implemented. • Conduct valid and reliable SWOT analyses on the market. • Remain fully informed about market trends, third-party research, and implement best practices.

J
Junior Data Analyst 7 April 2017 - 27 February 2019
Sitel Group

• Conducting primary and secondary research. • Data mining, cleaning, and preparation. • Data analysis, results preparation, and reporting. • Working with subject matter experts to develop first- principal models of brand activities. • Using these models to optimize decision making • Identifying opportunities for using the latest AI/ML techniques, services, and libraries to solve for customer -needs. • Experiment with new tools and technologies to produce effective solutions to user needs.