Open to opportunities

Sinenhlanhla User

@sinenhlanhlauser

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Data Analyst with research experience

South Africa

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What I'm looking for

Seeking a role in data analysis and research

I am a detail-oriented data analyst with experience in research and analysis, utilizing programming languages such as R, Python, and SQL to drive insights. My background in social sciences and e-Science has equipped me with a strong foundation in statistical computing, data modeling, and machine learning.

Throughout my professional journey, I have had the opportunity to work with various organizations, including Verve Insights Africa and Kantar, where I have applied my skills in data analysis, data visualization, and research to deliver high-quality outputs and support business objectives. My experience in working with tools such as PowerBI, Brandwatch, and Arrow has enabled me to provide actionable insights and drive brand awareness.

I am committed to delivering high-quality work, with a strong attention to detail and a passion for staying up-to-date with the latest trends and technologies in the field of data analysis and research.

Experience

Work history, roles, and key accomplishments

Research Associate

Verve Insights Africa

Aug 2023 - Dec 2023 (4 months)

Conducted economic research, analyzed survey data, and created reports to support business objectives

R Python SQL

Client Delivery Graduate

Kantar

Mar 2023 - Aug 2023 (5 months)

Analyzed survey data, conducted secondary research, and created data visualizations for client reports

R Microsoft Excel Data Visualization

Political Risk and Data Analysis Intern

VoxCroft Analytics

Jul 2022 - Dec 2022 (5 months)

Produced monthly reports, conducted data mining, and analyzed political trends for clients

Python Data Mining Politics

Education

Degrees, certifications, and relevant coursework

University of the Witwatersrand

Master of Arts, e-Science

2021 - 2022

Completed 75 credits towards Master of Arts in e-Science, including coursework in Statistical Computing and Inference for the Social Sciences and Humanities, Statistical Modelling for the Social Sciences and Humanities, Applied Data Science for the Social Sciences and Humanities, and Data Privacy and Ethics.