Kelvin Kilel

• Improved the sales prediction process through data analysis, supporting commercial management in
advancing sales performance by 15%.
• Designed and managed a commercial reporting process that reduced complexity in sales projection by 50%,
improving account executive follow-through and management oversight.
• Developed client recommendations on media placement strategy to maximize return on advertising
investment.

• Led financial oversight, budgeting, and performance tracking, establishing structured reporting systems that
improved cash flow visibility and executive decision-making accuracy.
• Designed and implemented end-to-end data architecture and BI dashboards (Power BI and Python),
transforming raw operational data into strategic KPIs across logistics, production, and sales.
• Built SOP frameworks, accountability systems, and automation workflows that reduced operational
inefficiencies by over 30% across finance, operations, and product teams.
• Aligned cross-functional teams through data-driven strategy reviews, improving forecasting reliability and
operational execution across departments.

• Oversaw executive inbox, calendar, and travel logistics daily, enabling smooth high-level coordination across
time zones.
• Led end-to-end SOP automation using Airtable and JavaScript scripting, reducing manual admin time by 30%
across functions including event and trip planning, task assignments, and recipe tracking.
• Reviewed team workflows to identify bottlenecks, then built custom Airtable automations and dashboards for
process transparency and accountability.
• Created recurring productivity systems including automated reminders, weekly planning workflows, and
booking automations that improved task adherence across the team.
• Maintained accurate bookkeeping in QuickBooks, reconciling expenses and supporting monthly reporting
cycles.

• Analyzed and modelled operational data to generate performance reports in Power BI, evaluating key metrics
such as moisturization levels, plant grade efficiency, and acid consumption, improving process insights by 25%.
• Developed Python scripts to clean and reconcile laboratory and dispatch reports, ensuring 95% data accuracy
and eliminating cross-departmental discrepancies.
• Managed and optimized truck transport operations, reducing logistics downtime by 50% through data-driven
workflow redesign.

• Automated weekly and monthly supplier reporting using Python, reducing report generation time by 70% and
freeing 5 hours per cycle previously spent on manual pulling.
• Led customer cohort analysis to understand purchasing patterns and develop retention strategies, increasing
customer retention by 20%.
• Built and maintained Power BI dashboards across multiple departments, providing near real-time data access
that improved strategic planning and decision-making.