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AI Engineer with less than a year in Data Analysis & Biomedical Systems
Biomedical Engineer graduated from Universidad Politécnica Salesiana (Ecuador, 2025) with solid training in data analysis, Python, SQL, and advanced Excel with Power Query. My most relevant project involved analyzing 558,837 vehicle auction records from the U.S. market—identifying price depreciation patterns, a condition-scale anomaly, and a consistent gap between sale prices and market value (MMR). My engineering background allows me to break down complex problems systematically and translate them into clear, actionable dashboards. I am looking for a remote entry-level position where I can contribute to data-driven business and commercial decisions from day one.
Universidad Politécnica Salesiana
B.Sc. · Biomedical Engineering
August 1, 2021 – June 30, 2025
SOLCA - Cancer Research Institute
Clinical Engineering Intern
November 1, 2024 – January 1, 2025
Cuenca, Azuay Province, Ecuador
Pre-Braille Multisensory Learning Kit
January 1, 2025 – January 1, 2025
• Designed a low-cost educational kit for children with visual impairments: 3D alphabet with Braille + NFC and an interactive electronic Braille cell device. • Evaluated at 94.4/100 on the SUS usability scale and 4.95/5 on the QUEST satisfaction scale, tested with visually impaired users.
Used Vehicle Auction Market Analysis
January 1, 2025 – January 1, 2025
• Exploratory data analysis of 558,837 U.S. vehicle auction records (source: Kaggle). • Data cleaning and transformation with Power Query: GMT-0800 date normalization, column removal, and inconsistency treatment. • Built 4 pivot tables and an interactive dashboard with 5 KPIs, 6 dynamic charts, and 2 slicers (year and vehicle condition). • Key findings: 68% average price drop between 0–50k miles ($18,570) vs. 100–150k miles ($5,924); condition-scale anomaly identified; average sale price $127 below market value (MMR).
View ProjectIndustrial Safety Signage Audit
April 1, 2024 – July 1, 2024
• Assessed and proposed improvements to safety signage in Electronics and Industrial Safety labs, applying INEN 439, ISO 3864, ISO 7010, and NFPA 70 standards. • Survey applied to 12 users; 5 critical deficiencies identified with documented recommendations.
Braille-to-Text Visual Translator (CNN)
January 1, 2024 – January 1, 2024
• Web application that recognizes photographed Braille configurations and translates them to text with audio feedback. Functional prototype with ~70% accuracy. • My role: CNN model training (1,080-image dataset, 27 letters) and web interface development with voice guidance for visually impaired users. • Tools: TensorFlow/Keras, FastAPI, Python, Google Colab.
AlexaCare Vital Signs Monitoring System
January 1, 2024 – January 1, 2024
• IoT system for continuous ECG and temperature monitoring for palliative care patients, integrated with a cloud database and Alexa voice interface. • My role: developed and configured the Alexa Skill, including the integration with a PostgreSQL database to respond to clinical queries by voice. • Stack: ESP32, Python, Arduino IDE, PostgreSQL, Alexa Developer Console.
Introduction to SQL / Intermediate SQL / Joining Data in SQL
DataCamp
June 1, 2026 – Present
SQL
SQLBolt
May 1, 2026 – Present
Introduction to Python
DataCamp
February 1, 2026 – Present
Excel for Data Analysis
Platzi
February 1, 2026 – Present
Google Sheets
Google Skills Activate
January 1, 2026 – Present
Leadership & Management Skills with AI
Universidad Santander
December 1, 2025 – Present
Microsoft Learn Student Ambassadors
Women's Month
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong inclination towards impactful and socially conscious applications of technology, such as the AlexaCare system for palliative care and the Braille-to-Text translator. This suggests a candidate who values contributing to meaningful projects. The diversity of projects, from data analysis to IoT and AI, indicates adaptability and a broad interest in technical domains. While the experience level is entry-level, the candidate's proactive pursuit of certifications and academic projects demonstrates a strong learning orientation and self-motivation, which are positive indicators for cultural fit in a growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by breaking down complex problems into actionable dashboards and identifying anomalies in data. Their academic and personal projects show initiative and a user-centric approach, particularly in the Braille-to-Text translator and multisensory learning kit. The internship experience indicates an ability to organize technical documentation and manage assets, suggesting good attention to detail and operational efficiency. The candidate's profile indicates a desire for a remote entry-level position, aligning with a self-starter mentality.