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Mauricio Ortiz

Mauricio Ortiz

Data & Systems Automation Consultant
📍 San Salvador, El Salvador · (0) · Member since September 2026
Availability
🏠 Works remotely / from home Yes No
🧰 Travels to client Yes No
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Presentation

I help healthcare, operations, and SaaS teams automate manual work, connect disconnected systems, and turn fragmented data into clear, actionable reporting.

With 5+ years of experience across healthtech, telecommunications, and financial services, I specialize in building automations, API integrations, data pipelines, and reporting systems that make operations run smoothly. My background includes work on telehealth clinical workflows, e-prescription integrations, EHR-connected logistics, clinical coding pipelines, and vendor onboarding frameworks.

What sets me apart is that I don't just build what is asked, I diagnose the operational problem first. I map the inputs, outputs, stakeholders, and business impact before writing code, then translate vague requirements into scoped, practical solutions. I work comfortably across clinical, operations, finance, marketing, and engineering teams, adapting my communication to each audience.

Tools I work with include Zoho CRM/Flow/Analytics, Deluge, SQL, Python, BigQuery, Power BI, Looker, REST APIs, AWS Lambda, and AI APIs.

Whether you need to automate a workflow, integrate systems, clean up your reporting, or improve a cross-functional process, I can help you reduce manual work and get clearer visibility into your business.
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Background

Data and Systems Analyst
Thrivelab CO · 28/02/2022 – 10/09/2026
-Led operations and data systems across clinical, fulfillment, finance, marketing, and IT.
-Built the infrastructure that supported nationwide clinical expansion and new product launches.
-Improved revenue operations and reduced manual work through automation and streamlined processes.
-Enhanced clinical workflows, making patient onboarding and provider tasks smoother and more consistent.
-Strengthened fulfillment and logistics with clearer shipping visibility and better patient communication.
-Created a flexible prescription‑delivery feature that improved patient experience and retention.
-Standardized vendor onboarding, enabling faster integration of pharmacy partners and cleaner billing flows.
-Delivered end‑to‑end analytics solutions for leadership, modeling data sources from scratch and integrating external inputs into dashboards, reports, and automated insights.
DMS Analyst (Distribution Management System)
Telemovil El Salvador · 01/07/2021 – 28/02/2022
-Supported distribution strategy by turning sales, coverage, and user data into clear reports and geographic insights for leadership and field teams.
-Built recurring performance reports that helped leadership track regional sales, coverage, and field activity.
-Created interactive maps that combined multiple datasets to guide decisions on where to expand or invest resources.
-Designed structured data‑collection tools that improved the quality and consistency of field inputs.
-Managed weekly and monthly payroll reporting for a 20–30 person field team, improving accuracy and timeliness.
-Collaborated closely with supervisors, regional managers, and field teams to ensure reporting and mapping aligned with business priorities.
Process Analyst
El Salvador Stock Exchange · 10/01/2019 – 30/06/2021
-Supported operations, product development, and technology initiatives with a focus on automation, process improvement, and data‑driven analysis.
-Delivered automation projects that sped up operational workflows and improved how market information reached the public.
-Contributed to the design and requirements of an electronic trading system, helping shape architecture and business needs.
-Mapped and improved business processes to increase clarity and efficiency across departments.
-Built analyses that helped leadership evaluate new investment products and guide strategic decisions.
-Gathered requirements and helped redesign business flows for the company’s legacy backend system.
MSc in Applied Data Science & AI
Open Institute of Technology · 2024 – 2026
-The program covers machine learning, deep learning, data engineering, and modern AI development through hands‑on projects. It emphasizes building real-world AI solutions, working with large datasets, developing predictive models, and applying AI to automation, analytics, and product innovation. The curriculum also highlights ethical AI practices and the ability to translate complex technical concepts into actionable business outcomes.
- For my Capstone Project I Implemented a supervised learning model analyzing the impact of LLM-generated features on traditional supervised learning, demonstrating a cost-effective approach to a common business problem: identifying causes of patient churn.
BSc in Industrial Engineering
Central American University José Simeón Cañas · 2014 – 2019
- Relevant focus areas: process optimization, data & statistics, systems thinking, operations research.
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Data Analyst with Python
21/07/2021
Provides practical, hands‑on training for data analyst roles using Python. It covers essential skills such as data cleaning, manipulation, visualization, and exploratory analysis, along with foundational statistics and analytical thinking. Learners work with real datasets to build confidence using tools like pandas, NumPy, Matplotlib, and SQL. The program emphasizes turning raw data into actionable insights, creating clear visualizations, and applying Python-based workflows to solve business problems. It prepares graduates to analyze data end‑to‑end and communicate findings effectively to stakeholder
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Google Analytics
08/06/2021
This certification provides practical, job‑ready training for junior and associate data analyst roles. It covers core analytical skills such as data cleaning, analysis, and visualization, along with hands‑on practice using spreadsheets, SQL, Python, and Tableau. Learners gain experience organizing and preparing data for analysis, performing calculations, and applying analytical techniques to real datasets. The program also focuses on communicating insights through dashboards, presentations, and widely used visualization tools, preparing graduates to support data‑driven decision‑making in business environments.
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Machine Learning
09/12/2020
Provides a foundational, industry‑recognized introduction to machine learning. It covers key concepts such as supervised and unsupervised learning, model evaluation, and practical algorithm design. Learners gain hands‑on experience building predictive models, working with real datasets, and understanding how techniques like linear regression, logistic regression, neural networks, and clustering are applied in real-world products. The program emphasizes practical intuition, mathematical understanding, and the ability to translate ML concepts into solutions that support data‑driven decision‑making and automation.
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Exploratory and Predictive Methods in Data Mining
09/05/2020
University course on descriptive and predictive methods (machine learning), using R.
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Business Process and Decision Modeling
03/06/2016
Provides practical training in modeling and improving business processes using BPMN and decision‑modelling techniques. It covers how to map workflows clearly, identify inefficiencies, and design optimized process flows that support operational clarity. Learners gain hands‑on experience creating BPMN diagrams, documenting decision logic, and structuring processes in a way that aligns business needs with technical execution. The program strengthens the ability to analyze, visualize, and communicate processes across teams, supporting better decision‑making and more efficient operations.
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🇬🇧English 🇪🇸Spanish
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Working hours

Monday
From08h00To18h00
Tuesday â–ª Today
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday
Closed
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