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daniel_montenia

Daniel Montenia

@daniel_montenia

Independent Data and Analytics Consultant

Costa Rica
Inglese, Spagnolo, Portoghese, Francese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I help organizations transform fragmented data into high-impact business decisions. My approach is rooted in traditional data excellence: ensuring data integrity, building robust analytical frameworks, and delivering clear visualizations that stakeholders actually understand. How I bring value: Business Intelligence: Custom dashboards (Tableau/Power BI) that track KPIs in real-time. Data Strategy: Auditing and cleaning data workflows to ensure a "single source of truth." AI-Driven Efficiency: Implementing predictive models and LLM automation to speed up data processing and reporting.... Continua a leggere

Competenze

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daniel_montenia
Daniel Montenia
offline • 

Consulta i miei servizi

Consulenza in data science
I will build automated business intelligence dashboards with ai driven insights
A partire da50 USD / progettoMaggiori dettagli
API e integrazioni
I will develop custom business applications with ai powered automation
A partire da250 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

Amazon

Independent Data & Analytics Consultant

Amazon • Lavoratore autonomo

Oct 2022 - Present • 3 yrs 8 mos

Specialized in bridging the gap between raw corporate data and executive decision-making. Over the past 4 years, I have executed end-to-end data strategies for private clients in the Fintech, Retail, and Logistics sectors, focusing on operational efficiency and automated business intelligence. Key Achievements & Responsibilities: Data Strategy & Governance: Architected "Single Source of Truth" environments for 10+ mid-sized firms, migrating fragmented Excel-based reporting into automated SQL/Cloud data warehouses. Business Intelligence (BI): Designed and deployed 50+ interactive dashboards in Power BI and Tableau, enabling stakeholders to track real-time KPIs and reducing weekly reporting manual labor by 40%. AI-Driven Efficiency: Integrated Machine Learning models (Scikit-Learn/XGBoost) to optimize supply chain logistics and customer churn prediction, treating AI as a tool to enhance traditional data analysis. Process Automation: Developed custom Python scripts to automate data cleaning (ETL) and validation, ensuring 99% data accuracy for financial auditing projects. Strategic Consulting: Acted as a fractional Data Lead, translating complex technical findings into actionable business roadmaps for non-technical CEOs and Board members.