Data Engineering- Architected and implemented cloud infrastructure using industry best practices in data engineering.- Developed and managed ELT/ETL pipelines from diverse sources, including files and APIs, utilizing both batch and stream processing techniques.- Deployed complex workflows integrating multiple tools to ensure high performance and seamless orchestration.- Implemented large language models for sentiment analysis and various use cases, including the RAG framework.- Generated diverse datasets for marketplaces, covering sectors such as real estate and healthcare.Skillset: GCP (Cloud Storage, BigQuery, Workflows, Dataflow, Cloud Functions, API Gateway), Apache Airflow, Apache Kafka, dbt, Snowflake, Spark

As a CSIS Peer Tutor, my primary duty was to provide academic support to fellow students outside of the classroom. I worked one-on-one with students or in small groups, offering guidance on course material, assignments, and exam preparation. My goal was to help students achieve a deeper understanding of the subject matter, build their confidence, and improve their grades. By creating a supportive and collaborative learning environment, I helped my peers reach their academic goals. Courses: - CSIS 1280: Multimedia Web Development - CSIS 1175: Introduction to Programming - CSIS 2175: Advanced Integrated Software Development - CSIS 2300: Database I - BUSN 2429: Business Statistics I - CSIS 2260: Operating Systems - CSIS 2200: System Analysis and Design

As a CSIS Student Assistant, my primary role involved providing hands-on assistance to fellow students during class. While the instructor delivered the lecture, I walked around the classroom, answering questions and offering guidance on exercises. My goal was to support my peers in their learning and ensure they could make the most of the classroom experience.Courses:- CSIS 1280: Multimedia Web Development- CSIS 1175: Introduction to Programming

Data Engineering: Customer Data Platform (Data Delivery)- Construction of Hive data models using Spark processing (Python).- Construction of a quality engine for Hive tables that allows calculating basic statistics and trends on the processed information using statistical methodologies (Chebyshev's Theorem).Data Engineering: Implementation of Machine Learning Models- Construction of sales estimators using Spark technology (Python) and libraries such as Pandas, Numpy, Sklearn, and Lightgbm.Skillset: Python, Hive, Spark SQL, Qliksense (Reporting), Oracle, SAS, Jenkins, Bitbucket, Datastage

Data Analytics: - Development of strategic, tactical, and operational dashboards with the main KPIs.- Development of dashboards that show the evolution of feedback on campaigns. - Monitoring and analysis of the information generated in the MIS (Management Information System), a model that stores the information of the campaigns by CRM. Skillset: Oracle, Qliksense

- Development of data models that join all the campaign's information that is created and distributed by the CRM team (Oracle data model).- Development of data models that join all the customer's feedback about the sales channel attention (eg. agencies, telemarketing, sms and emailing).- Development of indicators (KPIs) that can measure the campaign's effectiveness and contribution with the sales.

Business Intelligence:- Implementation of a Web platform for the management of user registration for the company's partner channels on the necessary systems for the registration of fixed telephony sales.- Develop a control panel with indicators related to the requests made by the sales channels for the creation of users in the company's systems (User Management).- Management of the sales record quality project carried out by the company's Backoffice team in order to detect improvements in processes and systems.- Management of the reporting (control panels) prepared by the partner that is used by both the sales channels and the internal areas of the company for decision making.- Exploitation of order traffic information to show evolutions on a monthly basis of orders that are in a state of decline or in follow-up.Skillset: PHP, Laravel Framework, HTML, CSS, Javascript, Ajax, JQuery, MySQL

Functional Analyst:- Follow-up to the solution of incidents of applications and solutions on POS platforms.- Report incidents or delays in projects.- Coordination with the quality area (testing) for the attention of regressions to improve the versions of their output to production.- Management and monitoring of POS projects: Contactless project (Visa Paywave), DCC project (Dynamic Currency Conversion).- Follow-up and execution of the certification processes of the POS / Pinpad platforms with the quality team (testing) and in the laboratories of the stores.Skillset: ISO8583, EMV, Java, HTML

- Involved in numerous projects within the company, which focused on defining new features for POS terminals.- Attention of the reported incidents by the customers (e.g. retailers)- Elaboration of the technical and functional documentation of the POS's projects.

- Continuous coordination with the customers (e.g. retails) during the integration process with our web/mobile Visa payment platform.- Registration and configuration of the customer's parameters in the transactional platform.Skillset: Java, HTML

Development of an informatics platform for the Health Technology Management in hospitals in Peru.Skillset: PHP, Laravel Framework, HTML, CSS, Javascript, Ajax, JQuery, MySQL