Brian Musa
About Candidate
Brian is a compassionate, data-driven analytical chemistry graduate with expertise in computing, data analysis, and practical experience in the quality department. Holds a degree in Analytical Chemistry with Computing and an ALX certified Data Analyst. By combining science and tech skills, this makes Brian an outstanding analytical problem solver, leader and a critical thinker. My strengths include compliance monitoring, safety audits, laboratory testing, and documentation in line with NEMA and WHO standards. I am also experienced in implementing corrective and preventive actions (CAPA), root cause analysis, Excel, SQL, Python, Power BI, and continuous improvement initiatives. Adept at supporting cross-functional teams to ensure operational excellence, good decision-making, and regulatory compliance.
Location
Education
Building on Data Science certification, this comprehensive training focused on the end-to-end data lifecycle, utilizing SQL for complex querying and Python (Pandas, NumPy) for cleaning and manipulating high-volume operational datasets. The curriculum emphasized Power BI for developing automated, JSON-themed dashboards and Advanced Excel for sophisticated modeling and reporting, specifically designed to track performance metrics and KPIs. By integrating Machine Learning for predictive insights with core competencies in data visualization and statistical problem-solving, I have developed the technical capacity to automate repetitive tasks, identify process inefficiencies, and drive data-driven continuous improvement initiatives within fast-paced industrial environments.
This degree provided a rigorous foundation in the Lab-to-Laptop workflow, bridging the gap between physical science and modern data intelligence. The curriculum integrated advanced chemical principles including chromatography, spectroscopy, and material analysis with a dedicated focus on computing for scientific data validation and process modeling. I mastered the application of statistical methods to ensure high-precision results within quality control environments, while utilizing computational tools to monitor chemical processes and maintain documentation consistency. This academic background, combined with a Second-Class Upper Division achievement, established the technical discipline required to manage complex variables, perform root-cause analysis, and ensure operational compliance within regulated manufacturing and laboratory settings.
Work & Experience
Operational Data Engineering - Redesigned the Environment Master Data framework, unifying multi-year datasets (F21–F26) covering energy consumption (HFO, LPG, electricity), water use, biomass, biodiesel, and effluent discharge; directly analogous to fuel inventory and utility tracking in petroleum operations. Reporting Automation - Built Python (Pandas) and VBA scripts to automate monthly energy and environmental returns, eliminating manual entry errors and reducing reporting cycle time, a capability readily applied to fuel distribution and stock reconciliation workflows. Power BI Dashboards - Designed real-time dashboards to track safety KPIs (TRIR, Near-Miss trends) and environmental performance metrics, enabling data-informed decisions at site management level. GRIM Reporting - Managed timely submission of safety and environmental data to Diageo’s Global Reporting and Incident Management platform, ensuring compliance with international group-level standards. Regulatory Compliance - Supported NEMA, ISO 14001, and ISO 45001 audits; maintained environmental licenses and statutory documentation in line with Kenyan regulatory requirements. Circular Economy & Waste Analytics - Analyzed waste stream volumes (cullet, biomass) to support industrial symbiosis targets, demonstrating ability to quantify and optimize resource flows - transferable to LPG/lubricant by-product management.
Conducted 50+ routine tests weekly, including pH, turbidity, conductivity, and COD, to monitor water and wastewater quality. I learned how the tools worked in the practical world. Ensured accuracy of results by calibrating and validating laboratory equipment against QA protocols, and this improved test reliability. Wastewater characteristics analyzed to support process optimization and corrective actions (CAPA), contributing to a 10% improvement in treatment efficiency. Generated and documented test reports for clients using LIMS and digital reporting tools; this supported audit readiness and compliance. Collaborated with a cross-functional QA team, and this made the distribution and delegation of the work easier, hence facilitating efficiency in teamwork.
