Benuel Omanga

• Developed machine learning models for stock prediction, energy consumption forecasting, and anomaly detection using Python and scikit-learn. • Built interactive Power BI dashboards for KPI tracking, trend analysis, and performance reporting. • Automated data cleaning and transformation workflows using Python and Excel (VBA). • Designed end-to-end pipelines for data gathering → cleaning → modelling → visualisation. • Applied SQL and PostgreSQL for data querying, database management, and exploratory analysi

I built KPI dashboards and automated reporting for clients in manufacturing, logistics, energy, and operations. Using Python, SQL, Power BI, Tableau, and Google BI, I streamlined workflows, improved data validation, and integrated multiple data sources to deliver accurate, consistent, and accessible analytical insights that supported operational and strategic decisions.

• Built Power BI dashboards tracking incident trends, contractor performance, and compliance KPIs, which improved visibility for management and reduced reporting gaps by 28%. • Streamlined safety inspection reporting by standardising Excel templates and automating trend summaries, cutting manual processing time by 35%. • Consolidated project compliance data into an executive dashboard that highlighted high-risk zones and improved audit readiness. • Analyzed project telematics and field data to assess oversp

• Analyzed historical audit, compliance, and incident data to identify recurring hazards and propose interventions that reduced repeat incidents by 22%. • Automated monthly compliance reports using Excel and Power BI, improving reporting accuracy and reducing preparation time by 40%. • Partnered with project teams to develop data-driven corrective action trackers, improving closure rates and boosting audit performance. • Created dashboards highlighting contractor performance, environmental metrics, and safe

• Oversaw quality and safety compliance in road infrastructure projects using structured audit and inspection data. • Created dashboards and reports that supported HSE managers in monitoring performance and regulatory adherence. • Identified non-compliance trends and provided actionable data insights to improve project safety outcomes. • Ensured documentation accuracy and alignment with international safety standards.

• Collected, analysed, and reviewed site safety data to identify risk trends and strengthen incident prevention strategies. • Maintained accurate digital records for audits, inspections, and safety performance reviews. • Supported frontline teams by providing data-driven insights on safety behaviours and compliance expectations.

Studied key concepts in business analytics and data science including statistical modeling, machine learning, data visualization, predictive analytics, database management, and business strategy. Gained practical experience using tools such as Python, R, SQL, Tableau, and Power BI to analyze data,

Completed a Bachelor of Science in Electronics (Telecommunication Option) with coursework in digital systems, analog circuit design, microcontrollers, signal processing, computer networking, and wireless communication. Completed hands-on laboratory work, programming projects, and telecommunications