Mutsa

@mutsa2

AI Data Automation Specialist I Dashboards, Python, SQL, Streamlit, R

Sudáfrica
Inglés, Shona
Parte de la información aparece en idioma inglés.
Sobre mí
I help businesses, researchers, and teams turn messy data into clear dashboards, automated reports, and practical data tools. I work with Python, SQL, R, Streamlit, Shiny, Flask, Excel/CSV data, and machine learning workflows. I can clean and structure datasets, build interactive dashboards, create visual reports, automate repetitive reporting tasks, and explain results in plain language. My background combines Mechanical Engineering with graduate-level Applied Data Science, so I am comfortable working with technical datasets, research data, business metrics, and operational data.... Lee más

Habilidades

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mutsa2
Mutsa
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Revisa mis servicios

Consulta de Data Analytics
I will clean, analyze, and visualize your excel, sql or CSV data
DeUSD 30 / proyectoMás información
Panel de datos
I will build an interactive dashboard in python, streamlit, r shiny, powerbi or tableau
DeUSD 100 / proyectoMás información

Porfolio

Experiencia laboral

City_of Bayswater

Data Scientist

City of Bayswater • Tiempo parcial

May 2025 - Present • 1 yr

• Built an end-to-end Python/R pipeline for high-frequency wastewater sensor data (1-min resolution, 50k+ observations), enabling scalable data accumulation for time-series modeling. • Engineered lagged and rolling multivariate features (N H3, H2S, flow), capturing delayed system dynamics and reducing chemical dosing variance by 18%. • Applied event-study methodology to operational transitions (HCl, FeCl3), estimating causal effects of dosing changes on odor emissions. • Developed quantitative response metrics (baseline shift, % change, persistence, time-to-min) to evaluate treatment strategies, improving performance by 12%. • Developing predictive and optimization models to learn system response dynamics and enable data-driven control of chemical dosing under uncertainty.

Full Stack Data Engineer

Croatia Autentica • Tiempo parcial

Jan 2025 - May 2026 • 1 yr 4 mos

• Architected and deployed a SQL-backed membership, scheduling, and training management platform (Streamlit + MySQL) for 400+ users, operating as a forward-deployed engineering system with real-time feedback loops and continuous feature iteration. • Built end-to-end data pipelines for bookings, fleet usage, and training logs, enabling real-time utilization tracking and automated anomaly detection in scheduling workflows. • Developed interactive calendar-based scheduling and logging systems with constraint enforcement (availability, crew assignment, role-based access), improving resource allocation and operational efficiency. • Designed analytics dashboards (Plotly + SQL aggregations) for membership, financial health, and fleet utilization, supporting data-driven decision-making for club operations.

Coca-Cola

Junior Engineer

Coca-Cola • Tiempo completo

Jan 2024 - Dec 2024 • 11 mos

• Led data-driven root-cause analyses (RCA) on production line failures, reducing material waste by 9% and improving process efficiency by double-digit margins. • Analyzed machine downtime patterns (MTTR, MTBF) and proposed digitized logging frameworks, improving data availability and enabling predictive maintenance workflows. • Supported implementation of preventive and condition-based maintenance (CBM) strategies across bottling lines, increasing equipment uptime by 12%. • Standardized equipment data collection and contributed to maintenance scheduling across critical systems (labellers, shrink wrappers, compressors, boilers), improving reliability and operational visibility.