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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since October 2021
Instructor since October 2021
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20 repeat students
Trusted choice for 20 returning students
Python for Finance & Data Analysis - For Economics, Business Analytics & Quant Students
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From 378 CNY /h
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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.
Extra information
No prior programming experience required - lessons are adapted to your level and goals, whether you're catching up for a course or building skills for a quant-track career
Location
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At student's location :
  • Around Amsterdam, Netherlands
  • Around Utrecht, Netherlands
  • Around Alkmaar, Netherlands
  • Around Lelystad, Netherlands
  • Around The Hague, Netherlands
  • Around Amersfoort, Netherlands
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Online from Netherlands
About Me
When I first started tutoring, I thought I was "just" helping with math. Over time I realized the real shift happens when a student stops feeling intimidated by a subject and starts thinking through problems independently. That's what I actually teach.

I hold a degree in Computer Engineering and I'm currently completing a Master's in Mathematics. I've been tutoring since 2019, with a 5.0 rating across 33 reviews and 20 repeat students.

My focus is students moving between education systems - different countries, different curricula, different languages of instruction - who need to build real command of the math their target university expects, not memorized shortcuts. I teach in English and German.

My strongest track record is Dutch university admission math (OMPT, CCVX, VWO), including German-speaking students using it as their route into Dutch universities. I'm also working with students preparing for SAT math and IB math, applying the same structured, first-principles approach.

Lessons combine clear explanations, real-world applications, and honest feedback. I'd rather tell you exactly where you stand than tell you what's comfortable to hear. Whether you're catching up, preparing for an admission exam, or building toward advanced coursework, the goal is the same: you leave understanding why, not just how.
Education
🎓 Education

Master of Main Paradigms of Modern Mathematics and Their Application (present) - Ilia State University
Bachelor of Science in Computer Engineering (2023-2025) - Georgian Technical University
Previous Studies: Electrical Engineering with a minor in Business Administration (2018-2023) - Agrarian University of Georgia

📜 Certifications & Courses

Web Development Bootcamp -Bitcamp
Python & Django Full Stack -ComSchool
Google AI Essentials & Generative AI - Coursera
Experience / Qualifications
Tutor (2019 - Present)
Teaching math, coding, and engineering tools (AutoCAD, Revit, Python). Helped students pass exams, land jobs, and build confidence in tech.

MEP Engineer - Stand-der-Technik (2024 - 2026)
Designing and modeling building systems (electrical, heating, ventilation, sanitary) in Revit & AutoCAD.
Creating training videos and courses to onboard new employees in MEP, Revit, and AI workflows. Developing custom Python automation scripts and exploring AI-driven tools for smarter design

MEP Engineer (BIM3, 2024)
Worked on European building projects, focusing on BIM modeling, system coordination, and technical compliance.

Electrical Engineer (Casa Calda, 2023 - 2024)
Designed electrical plans for residential & commercial projects; collaborated with installation teams.

Robotics Teacher (Robocode, 2023 - 2024)
Taught robotics & coding to kids and teens, making STEM fun and hands-on.

Web & Software Development (Freelance, 2020 - 2024)
Building web apps, automation tools, and front-end projects with Python, JavaScript, Django, React, Vue.js.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Russian
German
Georgian
Reviews
Availability of a typical week
(GMT -04:00)
New York
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Online via webcam
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
Read more
I work with two kinds of students: those preparing to meet university math admission requirements (OMPT, CCVX, VWO), and those already enrolled who need solid support in calculus, linear algebra, differential equations, probability & statistics, or discrete math including students at TUM, ETH Zurich, TU Delft, KTH, EPFL, and RWTH Aachen.
Lessons are in English; I can explain in German where it helps.
Read more
Similar classes
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Esfandiyar
Hi. I'm a senior software developer from Iran with over 15 years experience in software development. I'm in a business trip to Netherlands on mid July for a short period of time (almost 60 days) and I decided to conduct programming courses as besides my work mostly to cover some of my expenses though I'm eager to gain new experience working with local young students who are enthusiastic to learn programming skills. To said that, I tried to setup the course fee as low as possible and make it feasible for any interested person to take. I think it will be a great opportunity for both of us to have it. Here is brief bio about me and my working experience:

I've been working and teaching programming for long time and the way I deliver contents is totally unique from my perspective because I always leverage my experiences to give my students a real practice on subjects while they get to know the core concepts behind each subject.

I've been doing corporate training for about 2 years for 500 fortune IT companies and I perfectly know the standards and methods for teaching.

I believe this is the time for everyone who wants to enter to programming era to learn the connected concepts all together in a practical way, therefore I sit down with my student and let him/her to practice along with me all new concepts and assist him/her to get the result as I do. All with practice and real life examples and projects.

I also give my students an extra bonus to complete their tasks at home and send me their code for review out of the class without any extra charge. This actually means they extend the training hours event far more than the amount it's mention in course descriptions.

At the end, I'm ready to refund the whole money if my student feel not satisfied with my service. I also have a flexible timing schedule which makes my students to book their class at their favorite time.

Last but not least, I can customize the course contents based on your age and your backgrounds, so don't worry and contact me for more advise before you take my course.

Good luck and hope to hear from you.
verified badge
Nour
My class is for you if you want to:

- Build the skills you need to get your first Python programming project.

- Get started with Machine Learning, Data Science, Django or other hot areas that Python specializes in.

- Or just learn Python to be able to create your own Python apps quickly.

...then you need a solid foundation in Python programming. And my class is designed to give you those core skills, fast.

My class is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.

The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission-critical applications like Google Search.

And Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high paying jobs you need expert knowledge of Python, and that’s what you will get.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

· All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating

· You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more.

· Complete chapters on object-oriented programming and many other aspects of Python.
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Mattia
MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl

Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
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arrow icon previousarrow icon next
verified badge
Esfandiyar
Hi. I'm a senior software developer from Iran with over 15 years experience in software development. I'm in a business trip to Netherlands on mid July for a short period of time (almost 60 days) and I decided to conduct programming courses as besides my work mostly to cover some of my expenses though I'm eager to gain new experience working with local young students who are enthusiastic to learn programming skills. To said that, I tried to setup the course fee as low as possible and make it feasible for any interested person to take. I think it will be a great opportunity for both of us to have it. Here is brief bio about me and my working experience:

I've been working and teaching programming for long time and the way I deliver contents is totally unique from my perspective because I always leverage my experiences to give my students a real practice on subjects while they get to know the core concepts behind each subject.

I've been doing corporate training for about 2 years for 500 fortune IT companies and I perfectly know the standards and methods for teaching.

I believe this is the time for everyone who wants to enter to programming era to learn the connected concepts all together in a practical way, therefore I sit down with my student and let him/her to practice along with me all new concepts and assist him/her to get the result as I do. All with practice and real life examples and projects.

I also give my students an extra bonus to complete their tasks at home and send me their code for review out of the class without any extra charge. This actually means they extend the training hours event far more than the amount it's mention in course descriptions.

At the end, I'm ready to refund the whole money if my student feel not satisfied with my service. I also have a flexible timing schedule which makes my students to book their class at their favorite time.

Last but not least, I can customize the course contents based on your age and your backgrounds, so don't worry and contact me for more advise before you take my course.

Good luck and hope to hear from you.
verified badge
Nour
My class is for you if you want to:

- Build the skills you need to get your first Python programming project.

- Get started with Machine Learning, Data Science, Django or other hot areas that Python specializes in.

- Or just learn Python to be able to create your own Python apps quickly.

...then you need a solid foundation in Python programming. And my class is designed to give you those core skills, fast.

My class is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.

The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission-critical applications like Google Search.

And Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high paying jobs you need expert knowledge of Python, and that’s what you will get.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

· All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating

· You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more.

· Complete chapters on object-oriented programming and many other aspects of Python.
verified badge
Mattia
MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl

Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
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