One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Samuel will be happy to arrange your first Python lesson.
Samuel
One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Samuel will be happy to arrange your first Python lesson.
- Rate US$40
- Response 13h
-
Students50+
Number of students Samuel has accompanied since arriving at Superprof
Number of students Samuel has accompanied since arriving at Superprof
US$40/hr
Contact
- Python
- Programming Languages
- Artificial Intelligence
- R (language)
Data Scientist | Econometrics Expert | Machine Learning & AI Consultant. I have completed 126 projects with a 100% success rate and am trusted by over 100 clients worldwide across startups, industries
- Python
- Programming Languages
- Artificial Intelligence
- R (language)
Lesson location
Ambassador
One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Samuel will be happy to arrange your first Python lesson.
About Samuel
I am a full-time Top Rated Plus professional with two master’s degrees and over seven years of experience in econometrics and data science. I have completed 126 projects with a 100% Job Success Score, worked 2,000+ hours on Upwork, and am trusted by 100+ clients worldwide. I have worked with companies including InnoSight Financial and Æthux (USA), ImpactQR (Belgium), consulting firms such as Advanced Analytics (Saudi Arabia), and startups including ARCA-X (Qatar). I have also collaborated as a researcher with professors from the University of Göttingen, Georgetown University, and the University of St. Gallen, and have supervised and tutored students as a thesis advisor and private tutor. Professional Experience in Industry Finance & FinTech Experience building machine learning models for trading strategies by processing millions of financial records in AWS (S3, EC2) and leveraging Databricks for large-scale analytics and model training. Portfolio optimization (Markowitz, Black–Litterman), risk modeling, VaR, financial indicators, backtesting, and forecasting; Python and R API development with Streamlit and R Shiny dashboards. Economics Conducted advanced modeling and simulation of markets, economies, and enterprises using VAR, SVAR, Bayesian VAR, and Local Projection techniques. Performed in-depth analysis of regime changes and volatility dynamics with Markov Switching, ARCH, and GARCH models, providing actionable insights for economic and financial decision-making SaaS (Software as a Service) Designed and implemented the complete software architecture, including Python pipelines, APIs, and databases, with full documentation, enabling the CEO and CFO to gain actionable insights into global markets and make informed decisions. Primarily worked in PyCharm
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About the lesson
- Compulsory School
- Secondary School
- Higher Education
- +10
levels :
Compulsory School
Secondary School
Higher Education
Adult Education
Master
Doctorate
MBA
Pre-School
Elementary
Intermediate
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Children
- English
All languages in which the lesson is available :
English
As a tutor, I focus on making complex concepts in Data Science, Econometrics, and Machine Learning both understandable and immediately applicable. My goal is not just to teach theory but to equip students with the skills to tackle real-world problems confidently. Teaching Method and Techniques: I use a hands-on, project-based approach. Lessons are interactive and tailored to your skill level, combining explanation, demonstration, and practice. I emphasize: Breaking down complex statistical and machine learning concepts into simple, intuitive steps. Guided coding exercises in Python, R, or other relevant tools. Real datasets from industries and startups to apply theories immediately. Encouraging critical thinking and problem-solving rather than rote memorization. Typical Lesson Plan: 1. Review & Goal Setting: Assess current understanding and define objectives for the session. 2. Concept Introduction: Present the theory or methodology with real-world examples. 3. Guided Practice: Work through exercises or projects together. 4. Independent Application: Assign small tasks or mini-projects to reinforce learning. 5. Recap & Feedback: Summarize key takeaways, answer questions, and provide next steps for continued learning.
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Review
All of our reviews are collected by us and are 100% reliable. They correspond to a real experience lived by the students of Samuel.
5 (6 reviews)
Perfect! Samuel was a life saver, was super anxious about getting my project done on time, he help me and explain everything, he was patient even help me with my technological difficulties, I’m definitely going to use him on the future
- Great student!Samuel's response :
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
5
I have satisfactorily completed the econometrics and microeconomics subjects in the semester that I had to take thanks to Samuel, he has advised me in the best way and today I see the results.
I am from Ecuador and studying a masters in the UK. The classes were very useful and fulfilled my expectations. As a person with no background in economics, I could understand from scratch the econometrics models used. I am thankful for the way of teaching, very understanding and kind. I definitely recomend his class!
Good at explaining. Has good amount of free time over the weekends to help at Very affordable rates
Samuel is an incredible teacher and is very patient with students. He has helped me tremendously with my classes.
He is a great professor. I was heavily struggling with econometrics and microeconomics, both courses failed the previous year and he arrived like a lighthouse in the middle of the ocean. Trustworthy, punctual and really, really patient.
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Rates
Rate
- US$40
Pack prices
- 5h: US$200
- 10h: US$400
online
- US$40/h
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