Matilda Steiner

Wrangled, analysed, and visualised data for over 20 projects using Python, Excel, and Power BI, delivering actionable insights to stakeholders. Applied machine learning and statistical techniques to analyse over 100,000 data points, increasing forecasting accuracy by 20%. Partnered with cross-functional teams to translate business needs into technical data solutions.

Conducted a year-long biological quality assessment of drinking water, analysing 700 samples and executing laboratory testing. Utilized Excel and SQL to clean, organise, and analyse large datasets, creating data visualisations. Discovered high contamination rates and contributed to public health through educational sessions.

Pursuing advanced studies in Applied Data Science, focusing on quantitative methods and analytical techniques. Developing expertise in applying data science principles to complex problems.

Gained hands-on experience in Python and SQL programming, focusing on building predictive models for business insights. Developed skills in machine learning and advanced analytics to uncover customer trends and optimize strategies.

Activities and societies: Volta Hall choir, University of Ghana 2019 — 2022; Study group, University of Ghana Biology department, Creator 2020

Conducted a year-long biological quality assessment of drinking water across the Kpong community, analysing 700 water samples from multiple sources. Designed and executed laboratory testing, utilized Excel and SQL for data analysis, and benchmarked bacterial counts against WHO standards. Discovered significantly high faecal contamination rates and contributed to public health by delivering educati