Meya Tjihenuna
@meyatjihenuna
Second-year data science student focused on machine learning and data insights.
What I'm looking for
I am a passionate second-year Data Science student at the University of Namibia, driven to turn data into actionable insights and build practical machine-learning solutions.
I have hands-on experience as a Jr. Data Scientist working remotely on Python-based analysis, identifying correlations between technical indicators for cryptocurrency, and applying statistical modelling and data engineering techniques.
I have supported projects as a Jr. Project Assistant, contributing to technical and financial proposals, company profile design, and project maintenance, and have served as Personal Assistant to a company director.
I founded and directed a creative brand that grew organically—boosting impressions substantially and growing followers—while earning certificates including the Google Data Analytics Certificate and completing BCG and JPMorgan Chase & Co. data science simulations.
Experience
Work history, roles, and key accomplishments
Founder / Creative Director
MEYA
Jan 2021 - Present (4 years 9 months)
Built and maintained brand image, growing monthly impressions from ~400 to ~20 million and scaling followers to 200k while directing overall marketing and creative strategy.
Jr. Data Scientist
Remote
Jan 2024 - Dec 2024 (11 months)
Analyzed cryptocurrency technical indicators to identify correlations and support model development for trading signals. Applied data engineering and machine learning techniques to preprocess and evaluate datasets.
Jr. Project Assistant
AI and Machine Learning
Jan 2022 - Dec 2022 (11 months)
Supported technical and financial proposal development, designed company profiles, and organised project documentation to maintain contracts and client deliverables. Acted as personal assistant to the director for operational tasks.
Education
Degrees, certifications, and relevant coursework
University of Namibia
Bachelor of Science, Data Science
2023 -
Second-year BSc in Data Science student focused on data analysis, statistical modelling, and machine learning to derive meaningful insights and solve complex problems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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