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I have an engineering degree from the National Polytechnic and also a master's degree. I have taught privately for more than 15 years. I have always been updating myself with the curricular frameworks that change year after year. I adapt to students and their schedules to provide better service. I have a lot of patience and I try to help my students solve their problems on their own. I am empathetic with the difficulties that students present, I have always tried to improve communication between teacher and student, for a better understanding of the subject taught. I have taught classes in some institutes in the city of Quito, I use two methodologies: in person and virtually. Virtually, the classes can be recorded so that you can repeat them as many times as you wish. I have a good internet speed and a machine with the necessary capacity to do the classes without interruptions or intermittencies due to the internet. I move within the city to any place since I have my own transportation. I specialize in mathematics, physics, chemistry and geometry for the EPN prepo, as well as the first and second semester subjects of the EPN. I know the curriculum of all the universities in the country, because I have given several students not only from the city of Quito such as EPN, USFQ, UDLA, UTE, ESPE, UTPL, UPS, UIDE, Universidad Católica; but also from students from ESPOL, ESPOCH, IKIAM, Técnica del Norte, UTM.

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22Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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15Students

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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10Students

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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6Students

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.