Juan Campos

- Led the acquisition strategy for the sellers’ area, managing over $350K in monthly investment and doubling conversion to qualified leads through AI-powered agents. - Drove product discovery initiatives and user experience improvements, validating hypotheses via user research and rapid prototyping—resulting in two new high-performing acquisition channels. - Designed and launched Nexus, an internal platform integrating risk evaluation, contract management, and user notifications into a single workflow, boosting both efficiency and user experience. - Managed cross-functional teams of engineers, analysts, and marketers to deliver performance-driven initiatives under agile methodologies.

- Optimized acquisition channel performance using data insights and Marketing Mix Models, achieving a 140% reduction in Customer Acquisition Cost (CAC). - Championed data-driven decision-making by establishing data as a central source for insights and opportunities. - Communicated key business insights through dashboards and best practices. - Led growth hacking initiatives to identify new acquisition channels and business opportunities. - Generated sales forecasts and monitored key marketing KPIs (visits, leads, conversions). - Conducted internal Brand Health Tracker (BHT) studies to support brand development.

Web Intelligence Engineer – e-Commerce - Led the Reporting area, delivering comprehensive reports that generated actionable value for the company. - Developed analytical models and marketing campaigns aimed at improving KPIs and driving customer acquisition. - Managed CRM initiatives for technology products, leading communication and implementing data-driven strategies and campaigns.

Data Science Consultant - Skilled in database analysis, scenario evaluation, and results interpretation to support strategic decision-making. - Focused on creating value for clients through analytical solutions and predictive models. Key Projects: - Colsubsidio, Client 360 (2019–2020): Implemented analytical models across business units using SAP Analytics Suite, addressing key business questions for each division. - KOF Femsa (2020): Segmented distribution centers across Latin America using clustering models to redesign operational processes. Developed an algorithm to optimize workforce planning by calculating the optimal number of staff per role and distribution center. Leveraged Python, R, time series forecasting, and neural networks. - Novacero (2020): Designed optimization models to establish inventory policies across storage centers. Built and deployed a robust and versatile solution using R and Shiny.

- Customer support during pre- and post-sales stages. - Identification and understanding of customer needs. - Guidance to determine the best purchasing options within the company's catalog.