Irvin Oliva Data & AI Engineer

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Lead Data & AI Engineer

Feb 2026 - Current (6 months)

Designed and shipped an end-to-end data + AI platform to optimize short-term-rental performance in the Guatemala City market: competitive market scraping, a Medallion Data Lakehouse, and a RAG-based AI co-host that answers guest inquiries in the host's own voice. Architected a Medallion Data Lakehouse (Bronze/Silver/Gold) on Delta Lake, refining raw web-scraped JSON into analytics-ready Gold tables with ACID guarantees, schema enforcement, and time travel. Built Dockerized Playwright scrapers to mine competitive Airbnb listings (pricing, occupancy, ratings) into the Bronze layer. Utilized DuckDB and MotherDuck for high-performance OLAP processing, enabling seamless synchronization between local development and cloud-based production enviro

Data Engineer and Business Analyst

Halo

Jul 2025 - Current (1 year 1 month)

As a Data Engineer and Business Analyst, I built a Lakehouse Architecture & Design with a Medallion-type Architecture (Bronze, Silver, Gold) pipeline within Databricks on AWS to centralize disparate data sources, utilizing Delta Lake for ACID transaction support that supports an AI agent and is governed by Databricks' Unity Catalog. I translated high-level business goals for the MarketInSight initiative into granular technical Epics and User Stories, defining clear Acceptance Criteria for data engineering-focused sprints. Led technical Spikes to investigate enterprise platform constraints, identifying and documenting approved architectural alternatives. Achieved a 34.2% absolute increase in data match rates (from 5.3% to 39.5%) by deploying

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Web Developer and Sales Engineer Team Lead

Livebuyers

Jan 2024 - Jul 2025 (1 year 7 months)

As a Web Developer and Sales Engineer Team Lead, I built a premium WordPress template customized with HTML, JavaScript, and CSS, specifically designed for Realtors across the US, resulting in an average monthly sales increase of 28%. I constructed and launched 8 to 12 web pages daily for clients, utilizing WordPress, HTML, JavaScript, and CSS. My role involved conducting comprehensive research on clients, including social media profiles, reviews, and work sites, to tailor web page designs to their specific needs and preferences. I developed realtor pages for clients, incorporating essential features and information, while configuring and integrating web pages with Cloudflare, managing DNS records, and ensuring SSL secure server connections.

Data Scientist on Credit Risk Solutions

Bantrab

Mar 2023 - Oct 2024 (1 year 8 months)

As a Data Scientist on Credit Risk Solutions, I conducted a thorough analysis of BANTRAB's micro, small, and medium-sized company portfolio, assessing atrophy, demographic distribution, and customer banking percentages, as well as analyzing transaction processing information within the credit card portfolio. I utilized categorical machine learning techniques to develop a predictive forecasting model that identified critical contributors to credit default risk, pinpointing the top three factors associated with the highest likelihood of default. This enabled the implementation of proactive risk management strategies. Collaborating with various departments, I helped revise policies based on insights from the predictive model. I also developed

Sales Rep - Account Executive

Allied Global

Feb 2022 - Mar 2023 (1 year 2 months)

Resolved escalated customer issues via cold transfers from customer service, troubleshooting technical/service problems to retain client relationships. Managed inbound calls (35+/day) from direct website leads and outbound follow-ups (8 calls/22 emails daily), maintaining an average call duration of 560+ seconds. Consistently doubled bi-weekly sales quotas (100+ sales), closing 200+ sales every two weeks (peaking at 450 monthly sales, 40% above team average). Ranked Top 3 sales performer among 76 agents, driven by 61% KPI efficiency in closing deals (department avg: 51%). Volunteered for overtime shifts to maximize revenue opportunities and exceed personal/team targets. Mastered GDS systems and CRM tools to streamline bookings, upsell trave

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Data Scientist in Business and Financial solutions

Ikopedo

Jan 2021 - Jan 2022 (1 year 1 month)

As a Data Scientist in Business and Financial Solutions, I led an engineering team to successfully manage major infrastructure projects, ensuring on-time and on-budget execution. I designed and developed the website for the Zona Industrial Uno project, enhancing the project's online presence and showcasing my web design skills. Leveraging data mining and analysis, I saved approximately Q. 46M (about $5.90M) in the Industrial Zone One Project. I introduced SCRUM methodology to the construction area, enhancing project development efficiency, reporting, and fostering collaboration among multidisciplinary teams using CRM software and ERP systems. I supervised machine learning time series regression models with ARIMA to evaluate the viability of

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Data Engineer

Mineria Futura

Dec 2018 - Jan 2021 (2 years 2 months)

As a Data Engineer, I utilized machine learning techniques to create statistical models for assessing the feasibility of the "Taller Industrial Movimientos Masivos" project, resulting in cost savings of Q.16M. I designed the general website of Mineria Futura in its local domain and applied SEO standards to enhance its marketability. My responsibilities included collecting, cleaning, and visualizing project data using Microsoft Power BI and SQL Server, which facilitated data-driven evaluation and decision-making with the board of directors. I oversaw infrastructure projects, managed assembly, and handled a budget totaling Q. 2.6M for the CGN Mechanical Workshop. Additionally, I developed a Python and SQL Server program for precise materials

Irvin Oliva

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