Learn with me "How to crack/Pass interviews", from person with 99.99% strike rate.

From 155 £ /h

In this class we will learn how to crack an interview. You neccessarily need not have all the information and knowledge related to the job for which you are going to be interviewed, but you can still pass it by learning the art of appearing in interviews and what and how to talk in that.

Extra information

Connect with me.

Location

Online from Germany

About Me

Hi,

I have been teaching many college students, and industry professionals for long time now. Infact I have trained professionals who have already been in this domain and also the ones who wished to switch their work domain. All of them are successfully progressing in their careers and love to be in touch with me so as to gain more knowledge in their current projects, many of them take my help in cracking interviews and also in job support whenever they are stuck with something. By tuting you I feel that I am responsible for your career growth thereafter, and thus I teach you to make you comfortable with technology and also tell how to progress in that path.

Education

Bachelors of Technology (Electronics and Communications) from (Rajasthan University, India),
Masters of Business Administration (Information Technology) from (The Institute of Chartered Financial Analysts of India)

Experience / Qualifications

8+ years of experience in web development
5+ years of experience in teaching and training students and professionals
Have worked with startups, small companies, large enterprises and multinationals as well.
Have worked in different countries with different companies in multiple domains.
Some of the products that I developed are used by industry giants like Netflix, Sony in their day to day business operations.

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

30 minutes

60 minutes

120 minutes

The class is taught in

English

Hindi

Skills

Interviewing skills

Javascript

Computer programming

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Javascript, Programming, React.js, Front End, High paying software development jobs training, Designing, HTML, CSS

75 £ /h

I specialize in professional and aademic training in web programming especially in Javascript and PHP, HTML and CSS used for web designing and development.
Besides this I have expertise with React.js which is used essentially by all modern web apps and thus is required for all high paying web programming jobs with numerous opportunities across the globe.

I have separate curriculum and course designed for different levels, so even if you haven't touched programming ever in life, we are good to start with you as well. Feel free to contact me and I will take you through everything that is required to design a simple website or whatever it takes to develop complex enterprise applications.

All my courses end with a practical project that gives you confidence and make you industry ready.

Website design and development, basics to expert course available.

41 £ /h

In this course one can learn how to create a website.
There are no prerequisites of website knowledge, or computer programming. Anyone from any background can pursue this course. This will also help you pursue career and end up in high paying jobs

Youssef

4.85

(13)

Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).

Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
engineering Sciences
RDM
Python,VHDL
PIC Microprocessor and Microcontroller
Signal processing and data acquisition
Engineering Sciences

These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes.

COURSE OBJECTIVES AND PEDAGOGICAL APPROACH

Resumption and deepening of fundamental concepts through exercises with course reminders.

Put the student in a situation of questioning and research.

Respond to individual issues and questions

Exercise training in order to achieve real mastery of the content.

Learn to build theoretical reasoning from observable facts or hypotheses.

Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

This educational approach is effective since it has often led me to interesting results with my students.

Associate professor provides support courses in electrical engineering

Matías

4.85

(13)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Cami

4.85

(13)

Adapted to each case and need, the objective is support in accessing a job, from the search for departure to the signing of the contract:
- After the search and selection of relevant advertisements, establish and illustrate your transversal skills profile then create an attractive CV and write a striking cover letter highlighting your professional background
- stand out in the preparation of their interviews, from oral presentation to expression through appropriate body language. Interview simulation & video analysis filmed if necessary.
- Identify your values, promote your professional project / your assets and strengths but also work on areas for improvement in order to find new momentum in your career.

Note that during the videoconference session, all the notes are transcribed in the chat so that you can access them at any time when you wish.

Statistically, the progression following these private sessions is quickly noticeable, from 2 sessions. (study 2020)

PLACES :
- Locations: Geneva - Lausanne - Friborg - Neuchâtel - Montreux - Basel - Sion - Sierre - Morges - Bienne.

But currently and until further notice, only by videoconference in accordance with national recommendations on Covid. These sessions also seem perfectly unanimous since they have the advantages of direct (example: quality of the interaction), without its disadvantages (example: loss of travel time) with additional advantages (example: chat notes that can be read later).
In this context, these videoconference sessions for which you have requested me, seem to suit everyone perfectly, take place in a very optimal way and generate a certain enthusiasm (and a certain enthusiasm). That is why, at your request, I continue to offer this option. Take good care of yourself and yours.

Trained in Grande Ecole post-preparatory classes & Ivy League university in the United States, specialized and has been working for more than 13 years, in Europe and North America, in the field of communication and public speaking, in renowned international public and private institutions, intervening in forums and conferences, and oriented towards pedagogy and careful methodology.

PROGRAM
A la carte program: assessed and adapted to each need

Adam

4.85

(13)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Amin

4.85

(13)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Gaëlle

4.85

(13)

While adults are still debating whether kids should use AI, they are already using it.
The question isn't "should they?" it's "how do we do it intelligently?"

In this course, your child will discover:
✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't
✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it
✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
✓ Create with AI: custom avatars, interactive stories, real projects using real tools
✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do?
✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life

Why this is different:
Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits.
And, more importantly: that they can control how they use it.

What they take home:
Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively.

Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace

For curious kids asking "How does ChatGPT actually know things?"

Isabel

4.85

(13)

I am a qualified and experienced native Spanish teacher. I teach for several years to english students and I have been teaching spanish in Germany for 1 year.

I have studied Philologie in the University in Spain

I trained as a Spanish Teacher for Foreigners in Germany.

I can speak English and German fluently, so there will be no difficulty in the teacher-student relationship.

You can get good results with me, both if you want to learn or to improve your Spanish, whatever your goal:

• To obtain a DELE diploma from any level.
• To improve your Erasmus experience.
• To improve your experience as a tourist.
• If you want to practice your Spanish regularly to maintain your current level

I teach for all levels, grammar or conversation with personalized methodology to the age, mother language and previous studies of the student.

I take as a point of reference the level and the goal that the student wants to achieve in order to apply one or another method.

In case of group lessons, the price can be different.

Roger

4.85

(13)

Are you looking for personalized support to succeed in mathematics, physics or computer science? Whether you are a middle school, high school, university student or simply curious to learn, this multidisciplinary program is for you!

💡 Why Choose this Program?
This course offers comprehensive, tailored support to help you:

Strengthen your foundations and fill in your gaps.
Understand theoretical concepts in depth.
Master problem-solving methods.
Develop your computer skills, from introductory to advanced programming.
Prepare effectively for your exams and competitions.
With a human, motivating and caring approach, you will learn at your own pace in a calm and encouraging environment, without pressure or judgment.

📘 Mathematics – For All Levels
Mathematics may seem complex and abstract, but with the right method and clear explanations, it becomes logical and accessible.
This module covers:

Middle school level: Arithmetic, fractions, proportions, basic geometry, statistics.
High school level: Algebra, functions, equations, analytical geometry, probabilities.
Preparation for exams: Brevet, Bac, entrance exams for grandes écoles.
Advanced Mathematics: Differential and integral calculus, matrices, sequences and series for university level.
🔬 Physics – From Understanding to Application
Physics allows us to understand the world around us, from the laws of motion to electromagnetic phenomena.
This module will guide you through:

Middle and high school level: Mechanics, electricity, optics, thermodynamics.
University Level: Analytical mechanics, advanced electromagnetism, quantum physics, statistical thermodynamics.
Scientific Methodology: Knowing how to analyze a problem, formulate a hypothesis, apply physical laws and interpret the results.
Practical Applications: Virtual experiences, interactive simulations to better understand theoretical concepts.
💻 Computer Science – From Basics to Advanced Skills
In an increasingly digital world, mastering IT is essential. This module adapts to your level and your objectives:

Introduction to Computers: Understand how a computer works, use office software (Word, Excel, PowerPoint).
Programming Beginner: Learn to code in Python, JavaScript or C/C++ with clear explanations and practical exercises.
Advanced Programming: Optimized algorithms, complex data structures, object-oriented programming.
Project Development: Creation of web applications, automated scripts, simple video games.
Preparation for NSI Exams: Complete support to pass the Digital and Computer Science tests.
🎯 Interactive and Motivating Teaching
Dynamic Online Course: Learn from home with an interactive format using audio and screen sharing.
Method Adapted to Your Pace: Each course is designed according to your level and your objectives.
Practical Exercises and Concrete Projects: To apply theoretical concepts and learn while having fun.
Personalized Monitoring: Regular support to monitor your progress and adapt the program to your needs.
Encouragement and Motivation: A positive approach to building your confidence in your abilities.
🔔 For Who?
This program is aimed at:

Middle school and high school students wishing to strengthen their foundations or aim for excellence.
University students in science or computer science looking to deepen their knowledge.
Candidates for exams and competitions preparing for the Brevet, the Bac, or entrance exams to the grandes écoles.
Passionate self-taught people who want to learn to program or better understand the scientific world.
Adults in professional retraining wishing to acquire IT skills.
🚀 Ready to Succeed?
Join the "🎓 Multidisciplinary Program – 📘 Mathematics, 🔬 Physics & 💻 Computer Science for All Levels!" and benefit from personalized support to achieve your goals. Whether you want to improve your grades, pass your exams or develop programming skills, this program will give you knowledge, confidence and motivation.

Register today and take the first step towards success!

Farouk

4.85

(13)

These courses are part of a practical and accessible introductory training course in web development 🌐💻, designed for those who want to learn how to create a website from A to Z.
Using fundamental web technologies—HTML 🧱, CSS 🎨, and JavaScript ⚙️—you'll learn how to structure pages, style them, and make them interactive.

My teaching approach is hands-on: each concept is accompanied by concrete examples and progressive exercises to consolidate your knowledge. You'll discover how to build a responsive interface 📱💡, manage user events 🖱️, and apply simple animations ✨ to improve the user experience.

Whether you are a beginner or looking to consolidate your foundations, this training will guide you step by step towards autonomy in creating your own web projects 🚀

Training plan in 10 modules:

1. Introduction to programming 🧠💡
Understand the basics: logic, Linux commands, simple instructions and algorithms.

2. Introduction to HTML 🧱📄
Structure of a web page, main tags, links, images, tables, forms.

3. Accessibility and SEO ♿🔍
Create inclusive and well-referenced sites: semantic tags, ARIA attributes, good SEO practices.

4. Introduction to CSS 🎨🖌️
Formatting, colors, typography, boxes, flexbox and responsive layout.

5. Git & GitHub 🗂️⚙️
Version your code and collaborate effectively: Git commands, creating repositories, push/pull, pull requests.

6. JavaScript - Data Types 🔢📝
Numbers, strings, booleans, objects, arrays... Learn to manipulate data.

7. JavaScript - Functions and Methods ⚙️🧩
Define and call functions, understand scope, use native methods.

8. JavaScript - Terms ❓🔁
Master the if, else, switch statements to handle specific cases.

9. JavaScript - Arrays and Loops 🔄📊
Iterate efficiently with for, while, forEach, manipulate arrays like a pro.

10. DOM Manipulation & Closures 🌐✨
Edit HTML/CSS from JS, add events, understand closures for advanced interactions.

Hayat

4.85

(13)

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

Mariem

4.85

(13)

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.

Qamille

4.85

(13)

Objective: to access the job that suits you, from searching for job postings to signing the contract.

➤ Highlight your profile: identification of transferable skills, creation of a well-presented and attractive CV (in form as well as content) and a compelling cover letter.

➤ Shine in interviews and stand out (in both content and form): live filmed simulations analyzed to progress quickly (oral expression, body language, quick wit...).

➤ (Re)find momentum: identify your values, strengths and areas for improvement to build a clear and motivating professional project and draw new momentum from your career.

➤ Follow-up via videoconference: notes and recommendations accessible at all times via chat.

➤ After a few sessions, you will feel confident and comfortable with your job search (sending strong applications, interviews, etc.), which will seem natural and familiar. Concrete results: noticeable progress after just 2 sessions (2026 study).

➤ THE TRAINER/CONSULTANT
A graduate of a prestigious French business school and an Ivy League university in the United States, and a former Human Resources Director, he combines academic rigor with modern teaching methods. With over 18 years of experience in Europe and North America, he has taught at prestigious international institutions (both public and private), and regularly speaks in Switzerland, France, Belgium, Luxembourg, and Canada, as well as at various forums and conferences.

A recognized specialist, he offers personalized and accessible support based on active listening, a proven methodology, and tailored teaching methods. Whether through one-on-one sessions, workshops, or group training, his approach combines customization, efficiency, and professionalism for rapid, visible results.

➤ LOCATIONS, TIMES

✓ Areas of intervention:
-Switzerland (Geneva, Lausanne, Fribourg, Zurich, Neuchâtel, Lugano, Basel, Bern, Lucerne)
-Belgium (Brussels, Antwerp, Charleroi, Liège)
-Luxembourg
-On request: France (Paris, Lyon) and Canada (Montreal)

✓ Currently: sessions are primarily conducted via videoconference – a format favored by almost all participants, as it combines the same high-quality interaction with great organizational flexibility. All content, notes, and recommendations are provided directly through the dedicated chat. Advantages: time savings (no travel), flexible scheduling, comfort, and eco-responsibility.

✓ Languages: French / English.

➤ 90% of the people supported achieved their professional goals (2025 study).

✓ Special offers: gift vouchers available all year round – an original and useful way to please your loved ones.

✓ Schedules to be defined together, adjusting as best as possible to your constraints.

✓ 100% tailor-made program, adapted to each need.

✓ Why choose this training?
-Because you benefit from international expertise at the service of your objectives.
-Because each session is personalized and you will leave with concrete tools.
-Because the approach is not theoretical: it is lively, interactive and results-oriented.
-Because you benefit from a motivating, supportive and stimulating environment, which promotes confidence and rapid progress.
-Because in just a few sessions, you will already notice a tangible difference.

Ammar

4.85

(13)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Baia

4.85

(13)

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

Moshfeque

4.85

(13)

Speak with greater confidence in English—whether you are preparing for an interview, delivering a presentation or taking part in an important business conversation.

I offer personalised, one-to-one sessions for intermediate and advanced English speakers, particularly international professionals, university students and applicants. Together, we will work on expressing your ideas clearly, choosing appropriate language and responding thoughtfully to questions.

Each lesson starts with your goals. We might discuss a topical article, rehearse a job or university interview, practise a presentation, or explore a realistic workplace situation. I will give you specific feedback on your wording, structure and delivery, with practical points to work on between sessions. You are welcome to bring your own presentation, interview questions or discussion topics.

I graduated with a First in Law from Oxford and completed the Bachelor of Civil Law before training as a barrister. I am now a non-practising barrister with substantial experience in banking, business leadership and international consultancy. My approach draws on years of explaining complex ideas, presenting arguments and working with people across cultures.

Lessons normally last 60 minutes and are available online to students worldwide, with in-person sessions also possible in and around London. My aim is to help you communicate with clarity and confidence in situations that matter to you.