Machine Learning Data Science

Antonio Hernández-Blanco

MACHiNE LEARNiNG · DATA SCiENCE · WEB DEVELOPMENT · EDUCATiONAL TECHNOLOGY · NETWORK ADMiNiSTRATiON

** ****** **, ********, ** 06405

+1-754-***-**** **********@*****.*** antoniojhb @antoniojhb Eligible for contract positions and open to remote work opportunities. Fully equipped to work remotely from Ecuador with necessary documentation and work permits. Open to visa sponsorship discussions if required. Professional Summary

Seasoned academic professional with over 20 years in higher education, specialized in machine learning, data science, algorithmic development, and web development to optimize organizational processes and drive in novation. My doctoral thesis focused on designing and evaluating a model for optimizing educational content sequencing. Earlier in my career, I gained expertise in network administration. I am looking to take advantage of my skills in data science, machine learning, and web development to contribute to technological advance ments and improve operational efficiency in various organizational settings. Skills

Machine Learning Supervised Learning, Unsupervised Learning, Reinforcement Learning, Feature Engineering, Model Selection, TensorFlow, Scikit learn Deep Learning

Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short Term Memory (LSTM), Transformers, PyTorch, LLM (Large Language Models)

Data Science & Analysis Pandas, NumPy, Matplotlib, Seaborn, ETL, Data Visualization, Statistical Analysis, Hypothesis Testing, A/B Testing

Programming & Development Python, PHP, R, SQL, Node.JS, LaTeX, Django, Express, HTML5, Laravel Database Management MySQL, PostgreSQL, MongoDB, Microsoft SQL Server DevOps & Cloud Git, Docker, Kubernetes, Jenkins, AWS, Azure, Google Cloud Platform Educational Technology

Learning Management Systems (LMS), Instructional Design, E learning Platforms, Learning Analytics, MOOCs Development, Educational Data Mining, Moodle, Canvas, Blackboard, EdTech Integration, Blended Learning Strategies Network Administration TCP/IP, DNS, DHCP, VPN, Firewalls, Routers, Switches, Wireshark, Nagios Operating Systems Unix, Linux (CentOS, Ubuntu), Windows Server Languages Spanish (Native), English (Professional) Education

University of Alicante Alicante, Spain

PH.D. iN COMPUTER SCiENCE 2016 2023

• Design and evaluation of a reading sequence generation model for learning Autonomous Regional University of the Andes Ambato, Ecuador DiPHE iN EDUCATiON SCiENCES 2010 2011

• Design of a training course in the use of computing tools and resources of the UBUNTU LINUX distribution for teachers at UNIANDES PUYO.

University of Matanzas Matanzas, Cuba

BACHELOR OF ENGiNEERiNG 1992 1997

• Development Software Package for Production Management and Planning MARCH 15, 2025 ANTONiO HERNÁNDEZ BLANCO · RÉSUMÉ 1 Experience

Milagro State University, Ecuador Ecuador (Remote) LECTURER Mar. 2025 Present

• Professor of the Hybrid Realities module of the Master’s in Education with a focus on Teaching and Research in Higher Education.

• Professor of the Basic Principles of Technology Applied to Education module of the Master’s in Artificial Intel ligence for Education.

Chattigo SpA Chile (Remote)

SOFTWARE ENGiNEER Oct. 2024 Present

• Developer and optimizer AI driven agents and chatbot frameworks to enhance customer service efficiency, re ducing response times by 25%.

• Implementation of advanced natural language processing techniques to extract actionable patterns and in sights from unstructured documents, improving data driven decision making.

• DesignanddeployscalablesolutionsforconversationalAIworkflows,integratingmachinelearningmodelsand API services for seamless performance.

• Collaboration with cross functional teams to align AI development with business objectives, ensuring innova tive solutions met client requirements.

Bolivarian University of Ecuador Ecuador (Remote)

LECTURER Jul. 2024 Dec. 2024

• Developed and authored comprehensive coursemodulesandsyllabus,focusing on integrating technology and innovation into the curriculum.

• Taught undergraduate and graduate courses in computer science and engineering. Indoamerican University Ambato, Ecuador

DiRECTOR OF INTERNAL ASSESSMENT AND ACCREDiTATiON May. 2022 Jul. 2023

• Led accreditation processes aligning with international quality standards, contributing to improved institu tional rankings.

• Implemented data driven evaluation methods, boosting institutional effectiveness by 20%. Technical University of the North Ibarra, Ecuador

RECTORATE’S ADViSOR Aug. 2017 Apr. 2022

• Guided the Rectorate on academic policies and strategic initiatives, driving growth and academic excellence.

• Led cross departmental projects that enhanced operational efficiency by 15%.

• Supervised the presentation of undergraduate degree projects. Autonomous Regional University of the Andes Ambato, Ecuador ASSiSTANT PROFESSOR Jan. 2007 Dec. 2011

• Taught undergraduate and graduate courses in computer science and engineering.

• Mentored students in research projects, focusing on Web Development. Selected Projects

• Project: Optimization of Chatbot and AI Agent Systems.

– Objective: Designed and trained machine learning models to improve chatbot intent recognition and en hance agent response accuracy.

– Tech Tools: Python, TensorFlow, Natural Language Processing (NLP), Transformer basedmodels,Document Pattern Extraction

– Outcome: Increased intent detection accuracy by 25%, leading to enhanced user satisfaction and reduced query resolution time.

• Project: Algorithm for Sequencing Educational Content

– Objective: Designed and implemented an algorithm to optimize the sequencing of educational materials to enhance personalized learning experiences.

– Tech Tools: Python, TensorFlow, Transformer based models, Topic Modeling, Optimization Algorithms MARCH 15, 2025 ANTONiO HERNÁNDEZ BLANCO · RÉSUMÉ 2

– Outcome: Improved learning outcomes by 15% through personalized content sequencing tailored to stu dents’ learning progress and needs.

• Project: Data Driven Institutional Accreditation Process

– Objective: Led the development of data driven evaluation methods to streamline decision making and en sure alignment with international quality standards.

– Tech Tools: Python, SQL, Data Visualization Tools (Seaborn, Matplotlib)

– Outcome: Achievedaccreditationcomplianceandimprovedinstitutionaleffectivenessby20%throughstream lined processes.

• Project: Predictive Modeling for Academic Success.

– Objective: Developed predictive models using machine learning to predict student success based on histor ical academic data.

– Tech Tools: Python, Scikit learn, Pandas, NumPy

– Outcome: Enabled early intervention strategies, improving student retention rates by 10%. References

• Msc. Jiovanny Cartaya Pérez CTO (Chief Technology Officer), Chattigo SpA, Chile. Contact: Mobile: +56 9 5613 9216

• Dr. David Tomás Díaz Associate Professor, Department of Software and Computing Systems, University of Alicante, Spain.

Contact: +34-965-**-**-** ext.2384 Mobile: +34-651-**-**-**

• Dr. Borja Navarro Colorado Contracted Doctor, Department of Software and Computing Systems, University of Alicante, Spain.

Contact: +34-965-**-**-** ext.2342 Mobile: +34-663-**-**-**

• Dr. Francisco Cadena Lecturer, Center for Research Applied to Polymers, National Polytechnic School, Quito, Ecuador.

Contact: +593-**-***-*** Mobile: +593-**-***-**** Publications

• Hernández Blanco, A., Herrera Flores, B., Tomás, D., Navarro Colorado, B. (2019). A systematic review of deep learning approaches to educational data mining. Complexity. 2019 May 12;2019.

• López Gutierrez, J., Hernández Blanco, A. (2019). Percepción estudiantil sobre la transposición didáctica y su incidencia en la praxis didáctica, estudio grupos focales. II Congreso Internacional Modelo Didáctico. Editorial UTN Febrero, 2019. pp 67 75.

• Hernández Blanco, A., Tomás, D., Navarro Colorado, B. (2018). Where to start and where to go next: Recom mendation of sequences of learning resources. VI Congreso de la Red Ecuatoriana de Universidades y Escuelas Politécnicas para Investigación y Posgrados (REDU). Editorial UTN Noviembre, 2018. pp 596 602.

• Hernández Blanco, A., Tomas, D. and Navarro, B. (2015). An approach to the recommendation of scientific articles according to their degree of specificity. Procesamiento del Lenguaje Natural, (55), 2015. pp.91 98. MARCH 15, 2025 ANTONiO HERNÁNDEZ BLANCO · RÉSUMÉ 3

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