t
tafadzwa_s

TafadzwaSherewa

@tafadzwa_s

Data Scientist

Sudáfrica
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I'm a data scientist specialising in data cleaning, classification, and machine learning. I've worked with large-scale datasets in production environments, building models and turning messy, complex data into clear insights that drive real decisions. With a background in Information Systems and Business Analysis, plus Google Professional Certifications in Data Analytics, I bring both technical depth and business context to every project — so you don't just get numbers, you get answers. If you need clean data, a well-trained model, or sharp analysis that actually means something, let's talk.... Lee más

Habilidades

t
tafadzwa_s
TafadzwaSherewa
desconectado • 

Revisa mis servicios

Consulta de ciencia de Datos
I will build and train a machine learning model for your data
DeUSD 50 / proyectoMás información
Limpieza de datos
I will clean, organize, and prepare your data for analysis
DeUSD 30 / proyectoMás información

Experiencia laboral

DATA

Data Analyst/Data Operations Analyst

DATA • Tiempo completo

Jan 2025 - Present • 1 yr 4 mos

Cleaned, structured and classified large scale tag datasets to improve accuracy, consistency and correct categorisation across platform sections.  Performed data quality checks and validation, reducing misclassified or duplicate tag entries, strengthening analytics reliability.  Applied basic SQL-style logic and filtering principles (joins, grouping, and conditional rules) during data preparation and classification workflows.  Conducted exploratory data checks and pattern identification using spreadsheet analytics and Python-Based data analysis knowledge (pandas concepts) to support structured categorisation and anomaly identification.  Worked closely with the technical and product teams to support regular platform updates, ensuring tagging logic and datasets remained aligned with evolving system features.  Tested new platform releases and updates, identifying bugs, usability issues and data inconsistencies Producing clear issue logs and feedback