CV
Education
- PhD in Industrial Engineering, University of South Florida (USF), Florida, United States, Aug 2024 - Dec 2028 (expected)
- Scholarship: Doctoral Scholarship Holder
- Research: Deterministic Algorithm and Trustworthy Analysis - DATA Lab, Advised by Dr. Kaixun Hua
- Bachelor of Science Degree in Industrial Engineering, Pontifical Catholic University of Peru (PUCP), Lima, Peru, Mar 2019 - Feb 2024
- Scholarship holder for Academic Excellence
- Thesis: Television Equipment Trends in Peru: A Data Mining and Survival Analysis Approach Using Official Agency Data supervised by Dr. Gusukuma
- OxML 2023 - Machine Learning Program, AI for Global Goals & University of Oxford, Online, May 2023 - Jul 2023
- Program: Organized by AI for Global Goals, in partnership with the Mathematical Institute, University of Oxford
- Topics: Recent developments in ML in various domains such as Health, Finance, and NLP
- Diploma of Studies in Digital Transformation: Technologies and Implementation, Pontifical Catholic University of Peru (PUCP), Lima, Peru, Jun 2022 - Dec 2022
- First place of the class (Grade: 19/20)
- Full Scholarship Awarded
- Project: Development of the entrepreneurship project @Educando
- Korea Foundation Global E-School Program for Latin America, Autonomous University of Nuevo León, Online, Jan 2022 - May 2022
- Subject: Economic Development and Corporations in Korea and East Asia
- Full Scholarship Awarded
Data Analytics and Business Intelligence Specialization (Grade: 19/20), CIBERTEC Higher Institute of Technology, Online, Feb 2021 - Feb 2022
- Global Summer School, Innovation for Sustainable Development, Tsinghua University, Online, Jun 2021 - Jul 2021
- SDG Hackathon: Focus on “Current Situation and Trend of Global Digital Cultural and Creative Industries”
- Awards: Most Investable Team and Outstanding Team for the project titled “@Meeting Insiders”
Research Experience
- Young Researcher – ME-UYR Program, IEEE Signal Processing Society, Campania, Italy, Nov 2023 - Aug 2024
- ANTISP Project: Pioneering in Network Traffic Classification using Statistical Signal Processing, supervised by Domenico Ciuonzo (h-index: 44)
- Explainable AI: Deploying Continuous and Incremental Learning with Explainable AI for dynamic network management and optimization
- Grant: Secured a $4,000 grant from the IEEE Signal Processing Society’s ME-UYR program supporting the ANTISP project
- Research Project – Supervised by Dr. Marco Gusukuma, Pontifical Catholic University of Peru, Lima, Peru, Mar 2023 - Present
- Consumer Trends: Investigating Longevity and Consumer Trends of Electrical and Electronic Equipment in Peru’s Residential Sectors
- Techniques: Applying advanced data analytics techniques and stochastic modeling
- Research Project – Supervised by Dr. Oscar Miranda, Pontifical Catholic University of Peru, Lima, Peru, Jan 2023 - Present
- Advanced Methodologies: Exploring Advanced Methodologies for Predicting Copper Prices in the Commodity Market
- Techniques: Deep learning and natural language processing for dynamic financial trend analysis and copper price forecasting
Work Experience
- Graduate Instructional Assistant, Department of Industrial & Mgmt System Engineering, University of South Florida (USF), Florida, USA, Aug 2024 - Present
- Research: Working in the Deterministic Algorithm and Trustworthy Analysis - DATA Lab
- Teaching Assistant, Department of Engineering, Section of Industrial Engineering, Pontifical Catholic University of Peru (PUCP), Lima, Peru, Mar 2024 - Present
- Teaching: Involved in teaching and assisting with courses in Industrial Engineering
- Research: Collaborating on research projects within the Department of Engineering
- Data Analytics Project – LAB North Region - Central American, Caribbean, Peru and Ecuador, PepsiCo, Lima, Peru, Aug 2023 - Nov 2023
- Regional Data Analytics: Led the design of data analytics solutions in Central America and the Caribbean
- Advanced Techniques: Applied advanced data analytics techniques to interpret regional perspectives
- CRM Squad Intern (Data & Zendesk Explore Support) – Experience Tribe, Yape, Lima, Peru, Sep 2022 - May 2023
- Collaboration: Spearhead cross-functional collaboration with various teams
- Customer Insights: Employ advanced data analysis techniques to interpret customer insights
- Data Models: Develop and deploy comprehensive data-driven models, dashboards, and key performance metrics
- Digital Planning Strategy Intern (Algorithms & UX), Belcorp, Lima, Peru, Jan 2022 - Jun 2022
- Digital Campaigns: Oversaw the end-to-end execution of digital campaigns
- Analysis: Conducted in-depth analysis of commercial proposals
- Optimization: Championed the continuous optimization of marketing tactics
Skills
- Python, R, C++, SQL, JavaScript, Machine Learning (scikit-learn), Data Wrangling (NumPy, Pandas, tidyverse), Data Visualization (Tableau, Power BI, Looker Studio), Web Scraping (selenium), Cloud Computing (AWS Certified), ETLs (Tableau Prep, Visual Studio), AutoCAD, Adobe Photoshop
Service and Leadership
- President, IEEE TEMS PUCP, Lima, Peru, 2022
- Led the reorganization and revitalization of the IEEE TEMS PUCP chapter
- Peruvian Delegate, Huawei Scholarship, Seeds for the Future, 2022
- Selected as a Peruvian delegate for the Seeds for the Future 2022 program
- Faculty of Science and Engineering Freshmen Mentor, ADEIN, Lima, Peru, 2022 - 2023
- Mentored freshmen in the Faculty of Science and Engineering
- Secondary English Teacher, Yachay Volunteer Program, Lima, Peru, 2021
- Enhanced the learning of high school students as a secondary English teacher
Online Presence
- Representative of Peru: Prominent representation of PUCP in Huawei’s ‘Seeds for the Future’ program, focusing on the development of Information and Communication Technologies skills. Read Article
- Participation in Huawei’s ‘Seeds for the Future’: Significant contribution to the development of a mobile app for melanoma detection with team Safe4U, leading to selection for an internship in Mexico. Read Article
- Awarded at Tsinghua Global Summer School 2021: Received awards for “Outstanding Team” and “Most Investable Team” in the hackathon on the current situation and trend of global digital cultural and creative industries. Read Article
Abilities
- Technical Skills: Python, R, C++, SQL, JavaScript, Machine Learning (scikit-learn), Data Wrangling (NumPy, Pandas, tidyverse), Data Visualization (Tableau, Power BI, Looker Studio), Web Scraping (selenium), Cloud Computing (AWS Certified), ETLs (Tableau Prep, Visual Studio), AutoCAD, Adobe Photoshop
- Languages: English (Advanced), Portuguese (Basic), Spanish (Native)