Danel Sanchez Tarrago
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Danel Sanchez Tarrago Email & Phone Number

Location: Belmont, Massachusetts, United States 7 work roles 3 schools
1 work email found @hcnetwork.org LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Work email d****@hcnetwork.org
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Current company
Role
AI Engineer
Location
Belmont, Massachusetts, United States
Company size

Who is Danel Sanchez Tarrago? Overview

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Quick answer

Danel Sanchez Tarrago is listed as AI Engineer at Health Choice Network, a with 330 employees, based in Belmont, Massachusetts, United States. AeroLeads shows a work email signal at hcnetwork.org and a matched LinkedIn profile for Danel Sanchez Tarrago.

Danel Sanchez Tarrago previously worked as Data Scientist at Health Choice Network and Machine Learning Engineer at Health Choice Network. Danel Sanchez Tarrago holds Doctor Of Philosophy - Phd, Computer Science from Universidad De Granada.

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Email format at Health Choice Network

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*@hcnetwork.org
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Profile bio

About Danel Sanchez Tarrago

Dynamic and versatile computer scientist with a strong foundation in data science and machine learning, complemented by extensive experience in both academic and industry settings. Over three years of academic research, specialized in designing advanced classification algorithms and innovative data processing methods to enhance the performance and reliability of machine learning models.Transitioning to industry, contributed two years as a business intelligence developer in the healthcare sector, applying descriptive and diagnostic analysis to extract actionable insights from complex business data. Most recently, worked as a machine learning engineer, creating predictive and forecasting models for health centers. Passionate about leveraging analytical expertise and technical acumen to solve real-world problems and drive data-driven decision-making.Hands-on experiences:• Machine learning and data analysis• Object-oriented programming, Java, Python, JavaScript• Databases, ETL, SQL, SQL Server• Algorithms and data structures• Scientific researchSoft skills:• Quick learner, curious, self-motivated, and able to work independently with minimal supervision• Proactive and determined, yet flexible and open-minded• Creative and comfortable challenging the status quo• Loves to get hands dirty with programming and software development• Enjoys learning and sharing knowledge• Ability to see the big picture and also focus on the details• Upbeat with a can-do attitude • Enjoys working in a collaborative environment • Brings a unique perspective to the table as a bilingual, native Spanish speaker who grew up in Cuba and completed doctoral studies in SpainPersonality type: Architect (INTJ-A)Hobbies:• Robotics enthusiast, I enjoy DIY, mechatronic, and embedded programming• Thinking and learning about science, technology, and the meaning of the Universe, Life, Intelligence, and Consciousness and their interrelationship• and last but not least... Cat lover! ; )

Listed skills include Artificial Intelligence, Research, Teaching, Data Mining, and 6 others.

Current workplace

Danel Sanchez Tarrago's current company

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Health Choice Network
Health Choice Network
AI Engineer
Belmont, MA, US
Website
Employees
330
AeroLeads page
7 roles · 26 years

Danel Sanchez Tarrago work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer

Miami, Florida, United States

• Led the foundation of the Machine Learning Group within the Business Intelligence Department• Architected a custom system to develop and deploy in-house machine learning models• Developed advanced machine learning models to address key healthcare challenges, including:- Outpatient Visit Forecasting: Built a time series model to predict the volume of outpatient visits, improving resource planning and patient flow management- Opioid Use Disorder Prediction: Created a classification model to identify risk factors for opioid use disorder, supporting early intervention and preventive care- Chronic Kidney Disease Detection: Designed a classification model to detect early indicators of chronic kidney disease, facilitating timely treatment and patient support

Business Intelligence Developer

Miami, Florida, United States

• Developed abstraction layers to integrate data from multiple electronic health record systems for improved analytics and reporting• Created Workbench Reports and customized Slicer Dicer data models for clients using Epic systems

Feb 2022 - Jan 2024

Machine Learning Researcher

Santa Clara, Cuba

• Co-authored a book about multiple-instance learning, a subfield of machine learning that bridges the gap between traditional —simple-table— learning and relational learning• Created a machine learning solution for class-imbalanced multiple-instance classification problems that increases data model predictive performance by an average of 8%• Scientific adviser on a machine learning application for medical decision-making able to reduce coronary angiography costs by 30% at the Cardiological Hospital of Las Villas• Developed a noise reduction algorithm that increases the accuracy of data models for multiple-instance classification by an average of 3% when dealing with data with up to 20% noise corruption• Created a recommender algorithm for web mining applications that makes relevant recommendations 86% of the time• Designed and programmed a fuzzy set-based classification algorithm that correctly identifies image type in more than 90% of cases• Mentored students completing undergraduate research projects and master’s theses• Taught courses on Programming Languages, and Data Structures

2010 - 2017 ~7 yrs

Lecturer In Computer Science

Santa Clara, Cuba

• Created a Java program to compute data set complexity measures to estimate the best classification algorithms for the data• Conducted a study to determine if rough set metrics are useful to characterize data complexity in classification problems• Created a Delphi program to manage service times of faculty students and employees• Taught programming language and algorithm courses to undergrads

2008 - 2010 ~2 yrs

Information Technology Lecturer

Santa Clara, Villa Clara, Cuba

• Taught Microsoft Office, databases, and information access courses to undergraduate and graduate medical students

2001 - 2007 ~6 yrs
Team & coworkers

Colleagues at Health Choice Network

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3 education records

Danel Sanchez Tarrago education

FAQ

Frequently asked questions about Danel Sanchez Tarrago

Quick answers generated from the profile data available on this page.

What company does Danel Sanchez Tarrago work for?

Danel Sanchez Tarrago works for Health Choice Network.

What is Danel Sanchez Tarrago's role at Health Choice Network?

Danel Sanchez Tarrago is listed as AI Engineer at Health Choice Network.

What is Danel Sanchez Tarrago's email address?

AeroLeads has found 1 work email signal at @hcnetwork.org for Danel Sanchez Tarrago at Health Choice Network.

Where is Danel Sanchez Tarrago based?

Danel Sanchez Tarrago is based in Belmont, Massachusetts, United States while working with Health Choice Network.

What companies has Danel Sanchez Tarrago worked for?

Danel Sanchez Tarrago has worked for Health Choice Network, Universidad Central "Marta Abreu"​ De Las Villas, and Universidad De Ciencias Médicas De Villa Clara.

Who are Danel Sanchez Tarrago's colleagues at Health Choice Network?

Danel Sanchez Tarrago's colleagues at Health Choice Network include Jacqueline Suarez, Victoria Huggins, Patricia Sargent, Steven Tercier, and Olga Roque.

How can I contact Danel Sanchez Tarrago?

You can use AeroLeads to view verified contact signals for Danel Sanchez Tarrago at Health Choice Network, including work email, phone, and LinkedIn data when available.

What schools did Danel Sanchez Tarrago attend?

Danel Sanchez Tarrago holds Doctor Of Philosophy - Phd, Computer Science from Universidad De Granada.

What skills is Danel Sanchez Tarrago known for?

Danel Sanchez Tarrago is listed with skills including Artificial Intelligence, Research, Teaching, Data Mining, Programming Languages, Algorithm Development, Data Analysis, and Machine Learning.

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