Samuel - Python teacher - New York
Samuel - Python teacher - New York

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 Rs 1,420
  • Response 14h
  • Students

    Number of students Samuel has accompanied since arriving at Superprof

    50+

    Number of students Samuel has accompanied since arriving at Superprof

Samuel - Python teacher - New York
  • 5 (6 reviews)

Rs 1,420/h

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

  • Primary
  • Lower Secondary
  • O-level
  • +12
  • levels :

    Primary

    Lower Secondary

    O-level

    Lower Six

    Upper Six

    Diploma

    Continuous Professional Development

    Master's

    Doctorate

    MBA

    Pre-primary

    Basic

    Intermediate

    Proficient

    Kids

  • 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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Rates

Rate

  • Rs 1,420

Pack prices

  • 5h: Rs 7,101
  • 10h: Rs 14,202

online

  • Rs 1,420/h

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