I have automated the extraction and processing of data from multiple web pages using tools like Selenium and Pandas, structuring the information into formats such as Excel and JSON. I have designed workflows that reduced operational task time by over 40%, optimizing data collection, cleaning, and consolidation to enhance decision-making. My responsibilities include developing scripts for automatic data integration and analysis, minimizing manual intervention and improving process accuracy. I have also worked on optimizing data pipelines to ensure efficiency and scalability.
More InformationI have taught algorithm design and analysis to 58 students, fostering a high-quality education that encouraged logical and critical thinking. Through interactive virtual sessions and collaborative platforms, I developed educational materials and practical exercises to enhance the understanding of complex concepts. Using computational tools and document formatting systems, I streamlined the creation of resources that facilitated student learning. Additionally, by leveraging version control and code editors, I coordinated and supervised student projects, achieving a 97% pass rate with grades above 16.
More InformationI have provided support and maintenance for over 300 computers in laboratories and offices, ensuring optimal performance through hardware diagnostics and system management tools. I assembled and configured 70 new devices, optimizing their efficiency and usability. Using inventory tracking systems and network simulation tools, I conducted precise audits of more than 300 devices and configured networks, improving connectivity and reducing downtime by 30%. Additionally, by leveraging scripting and disk management utilities, I resolved daily technical issues, achieving a 95% resolution rate and maintaining high user satisfaction.
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This project applies machine learning to detect fraudulent transactions by analyzing patterns and anomalies in financial data. It leverages supervised and unsupervised models to enhance fraud detection accuracy while minimizing false positives.
This project focuses on analyzing and predicting employee turnover using machine learning techniques. Its objective is to identify patterns and key factors that drive workforce attrition, enabling organizations to implement strategic measures to improve employee retention.
This project detects deforested areas in satellite images using image processing and segmentation techniques. It automates the analysis of large-scale satellite data to calculate the affected areas with high precision.
This project implements a deep learning model for automatic waste classification into categories such as organic, plastic, glass, metal, cardboard, and paper. It aims to improve recycling efficiency through AI-powered image recognition.
This project conducts a comprehensive analysis of climate data in Peru, uncovering trends, seasonal patterns, and regional variations. It aggregates and processes historical and current climate datasets to support environmental research and policy planning.
This project automates key processes for SUCAMEC, aiming to optimize and standardize workflows within the organization. By implementing automated data collection, processing, and reporting, the system enhances efficiency and minimizes human error.
This project automates the extraction of exam questions from online sources related to UNMSM admission exams. It collects, processes, and structures the data for analysis and study purposes.
This project demonstrates the automation of testing processes using Jenkins. It integrates various types of tests (unit, integration, etc.) into a continuous integration/continuous deployment pipeline, ensuring efficient and reliable code delivery.
DataniloWeb is a web platform designed to showcase information about a datathon, providing participants and attendees with real-time updates on activities, schedules, speakers, and event details.
Cybersecurity
Kevin es un alumno ejemplar y se desempeña bien en el área de ingeniería, impartió clases a los alumnos de los primeros ciclos para mejorar su aprendizaje continuo. felicidades.
Cloud Architect Trainee
Great soft skills and always with innovative ideas!
System Engineer
Kevin es un estudiante talentoso y perseverante, con una capacidad de superación destacable. Su creatividad y esfuerzo lo llevarán a grandes logros tanto en su desarrollo académico como profesional.
Data Analyst
I've had the pleasure of working with Kevin, and I can confidently say he's a skilled professional. During our time at UNMSM, Kevin's strong skills in machine learning became evident. His expertise is solid.
Backend Developer
Kevin destaca por su potencial, conocimientos en Machine Learning y Minería de Datos, y dominio de Python para análisis de datos. Además, sobresale por sus habilidades blandas y trabajo en equipo, siendo un colaborador comunicativo y receptivo. Será un gran aporte en cualquier proyecto.
Backend Developer
Kevin es un profesional apasionado y dedicado a la inteligencia artificial, siempre actualizado y dispuesto a compartir su conocimiento. Destaca por su capacidad para resolver problemas complejos y trabajar en equipo. Su entusiasmo por el aprendizaje y la excelencia lo convierten en un activo valioso. Lo recomiendo sin reservas y estoy seguro de su éxito.
Professor
En referencia a una parte académica fue mi ayudante de cátedra en el curso “Diseño y análisis de algoritmos” en el ciclo 2024-1 en la Escuela de Ingeniería de Sistemas, durante el desarrollo tuvo un excelente desempeño con valores, principios, honestidad, veracidad.
Cybersecurity
Kevin es un alumno ejemplar y se desempeña bien en el área de ingeniería, impartió clases a los alumnos de los primeros ciclos para mejorar su aprendizaje continuo. felicidades.
Cloud Architect Trainee
Great soft skills and always with innovative ideas!
System Engineer
Kevin es un estudiante talentoso y perseverante, con una capacidad de superación destacable. Su creatividad y esfuerzo lo llevarán a grandes logros tanto en su desarrollo académico como profesional.
Data Analyst
I've had the pleasure of working with Kevin, and I can confidently say he's a skilled professional. During our time at UNMSM, Kevin's strong skills in machine learning became evident. His expertise is solid.
Backend Developer
Kevin destaca por su potencial, conocimientos en Machine Learning y Minería de Datos, y dominio de Python para análisis de datos. Además, sobresale por sus habilidades blandas y trabajo en equipo, siendo un colaborador comunicativo y receptivo. Será un gran aporte en cualquier proyecto.
Backend Developer
Kevin es un profesional apasionado y dedicado a la inteligencia artificial, siempre actualizado y dispuesto a compartir su conocimiento. Destaca por su capacidad para resolver problemas complejos y trabajar en equipo. Su entusiasmo por el aprendizaje y la excelencia lo convierten en un activo valioso. Lo recomiendo sin reservas y estoy seguro de su éxito.
Professor
En referencia a una parte académica fue mi ayudante de cátedra en el curso “Diseño y análisis de algoritmos” en el ciclo 2024-1 en la Escuela de Ingeniería de Sistemas, durante el desarrollo tuvo un excelente desempeño con valores, principios, honestidad, veracidad.
Technology, learning and innovation enthusiast. I enjoy exploring new
ideas, solving complex problems, and sharing knowledge with others. My
main interests are software development, artificial intelligence, and data
science, where I continuously seek to grow and create impactful solutions.
Beyond technology, I am also driven by teaching and mentoring, helping others
learn and reach their potential. I strongly believe in the power of effort,
curiosity, and continuous improvement to achieve great goals. I am always open
to new challenges and opportunities to evolve both professionally and personally.
Santa Anita - Lima - Perú
+51 971427792
kevin.tupac@unmsm.edu.pe
kevin.tupac.dev@gmail.com
Tell me about your problem—two brains are better than one! Let’s solve it together.
