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5Students

When I was a young child, I believed I was not a mathematical person. It wasn't until I met an amazing teacher at age 15 that I discovered my mathematical genius and my life was changed forever. I'm eternally grateful to that teacher. My teacher knew that self-image and self-belief is the key to unlocking your child's mathematical abilities. Everyone is good at maths, but we all have different styles of thinking. Bad teachers teach every child the same way. My job is to find your child's style of mathematics and allow him to discover that for himself. When he discovers that, he will begin to enjoy the beauty and power of mathematics...and then you will see as the grades begin to soar. 👉Click the blue "Contact Oliver" button above and let's discuss how we can unlock your child's mathematical talents! 😊

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I am in my second year of a Master's degree in Statistics at ETH Zurich and I offer courses in mathematics or physics for all levels, from middle school to third year of graduate studies. Having worked as an assistant in advanced analysis and physics at EPFL, I know how to adapt to the needs of each student so that the course matches their level and helps them progress effectively. I am fluent in French and English, which allows me to teach in both languages according to your preferences.

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I am an Economics graduate with the strong background in Econometrics, Statistics, and Data Analytics. Moreover, I have worked for Unilever (Fortune 200 company) as a Data Analyst, where I have applied my Econometrics, Statistics, Economics and Data Analytics knowledge using tools such as: Python (Pandas, Numpy), MS Excel, MS PowerPoint, MS PowerBI and SQL. Due to my educational background I possess high level knowledge of: -Linear, Multiple and Logistic regression and time series analysis. -Give interpretations and predictions of regression analysis. -Descriptive statistics (Mean, Median Mode, Skewness, Kurtosis, etc.) -Inferential statistics -Chi-Square Tests, Confidence Interval -Monte Carlo simulation -Anova Analysis -Hypothesis Testing (T -tests, Z test, F-tests), -Correlation Analysis and interpretation. -Non-Parametric Tests (Kruskal-Wallis, Wilcoxon Signed Rank Tests, etc.) Tools: MS Excel, MS PowerPoint, MS PowerBI, Python (Pandas, Numpy, Matplotlib, Spark), STATA, eViews, SQL

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I'm graduated in quantitative Finance and I have a master degree in Financial Mathematics. I'm currently working as a quant in a top Tier bank. This module covers: - Basic statistics (expected value, variance, mean, ...); - Random variable theory; - Regression analysis; - Stochastic processes (AR, MA, ARMA, ARIMA, white noise); - Calibration of models on real data;

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Analyst Statistician Analyst and Actuary gives mathematics and statistics courses for all levels. Help with the realization of the statistical and quantitative part during a Bachelor or Master project. Mastery of SPSS and R software Private individual lessons and / or small groups. Ps: Since I'm no longer in Lausanne, I give my classes largely by Skype but I also move to Zurich.

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I’ll provide custom mathematics courses for all levels, from lycée to university. I’ll help you for both practical exercises and theoritical courses. I have bern hired as a mathematics Teaching Assistant by EPFL for 2 years during my Bachelor’s. I’m now a Master student in Applied Mathematics at ETH Zürich.

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Biologist by training (with a doctorate in natural sciences from the University of Zurich), I offer private lessons or tutoring for primary and secondary school students, for high school and college students, biology, chemistry, social sciences, medicine (etc.).

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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. Covering university courses all around Europe: Italy, United Kingdom, France, Germany, Spain, Portugal,... 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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Experienced and specialised tutor prepares students for Edexcel AS, A Levels and IGCSE exams in Mathematics, Statistics and Physics. GUARANTEED SUCCESS WITH 15% REFUND IN CASE OF FAILURE (*)!!!! A little about myself and my background: I am graduate of the Department of Mathematics of the Aristotle University of Thessaloniki, Greece. For the last eight years, my passion for the field that I studied and the will to share it with others, the joy to connect with, guide and evolve people, had temporarily set the potential for a career as a teacher. I found extremely rewarding to teach high-school children and provide supporting education to university students in Math, Physics and Chemistry. All my students had 100% in their exams and today they continue their education dream in the university of their choice. Since I was offering private lessons I had the chance to bond with every single student, to build trust and inspire admiration of the subjects which led to continuous improvement and achievements. This ability and the excellent feedback of the students and their parents drew the attention of a supportive education night school that offered me a permanent role as a teacher. From 2017, I live and work as a teacher in a Private School here in Zurich, Switzerland. I am exciting for this position, because I believe it utilizes the knowledge and technical skill set that I obtained and at the same time improve my soft skills, test my limits and provide me with valuable professional experience. I strongly believe that the most important part of a science class is for the student to understand the reason behind and this usually can easily be succeeded with real-life examples. Every student is different and the teacher needs to adapt the class to his needs, strengths and weakness. (*) The student will be given an evaluation test in the beginning of the class to prove his level and background. Depending on his level, given personal preparation and good collaboration with the tutor the corresponding exam success is guaranteed.

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21Students

Many students lose confidence in math over the school year - not from lack of ability, but from pace, gaps, or one bad unit that never got resolved. This summer program (through mid-September) is built to fix that before the new year starts, not just review generally. I work with middle and high school students, including IB, to close specific gaps not a broad refresher, but targeted work on exactly what's holding a student back. I bring the same structured, evidence-based approach I use with my university-admission students: identify precisely what's missing, build a plan around it, and track real progress, not just hours logged. Best for students who want a calm, focused reset before the new academic year begins not for open-ended tutoring with no target

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14Students

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.

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5Students

As a teaching professional, I have always enjoyed sharing my knowledge. My goal is to provide quality education. I am aware that some topics may seem complex, but often this is simply the result of an inadequate explanation by the teacher. With me, you will discover a real interest in the material! We strive together to achieve academic excellence, overcoming the shortcomings and difficulties encountered by your child. Studies will become a pleasant experience for him. In addition to the courses, I can also help with school orientation, identifying their preferences and highlighting the advantages and benefits of a fulfilling educational ambition. The sessions generally take place according to the following stages: 1️⃣ The first sessions are devoted to the assessment of the student's level in order to detect existing gaps. 2️⃣ Next, we create a personalized plan to address these gaps, including the number of hours of work needed, specific areas to focus on, and appropriate training and development exercises. 3️⃣ We stay in constant contact with the student's class teacher, to keep up to date with the latest requirements and ensure a consistent approach. 4️⃣ Subsequently, I provide exams similar to those that are likely to be asked in class, to prepare the student effectively. 5️⃣ Upon request, I write a regular report, usually monthly, to keep parents informed of their child's progress throughout their course. I adapt my methodology according to the specific needs of each student, thus offering them a personalized and adapted work approach. In addition, I offer crash courses for students preparing for the start of the school year, allowing them to start the year well prepared, with a solid lead on the school curriculum. If you have any questions, do not hesitate to contact me. I will be happy to help you.

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13Students

Do you have a statistics or probability exam in BA1/BA2? I can help you review the material in a clear, structured and exam-oriented way. I support higher education students (university and college), particularly in their first and second years of undergraduate studies, to understand important concepts, redo practical exercises, and practice with exam-style questions. My goal is simple: to help you understand the logic behind formulas, know when to use them, recognize correct reasoning in a statement, and gain autonomy when facing exercises. Subjects covered according to your program: • Descriptive statistics: mean, median, variance, standard deviation, quartiles, quantiles, coefficient of variation, box plots, histograms, graphs, interpretation of tables and data. • Univariate and bivariate statistics: analysis of one variable, analysis of two variables, scatter plots, covariance, correlation, regression line, coefficient of determination, interpretation of relationships between variables. • Probabilities: events, union, intersection, complement, conditional probabilities, independence, Bayes' theorem, probability trees, contingency tables. • Combinatorial probabilities: permutations, arrangements, combinations, draws with or without replacement, counting, classic exam situations. • Random variables: discrete and continuous variables, probability function, density function, distribution function, expectation, variance, standard deviation, variable transformation. • Probability laws: Bernoulli distribution, binomial distribution, normal distribution, standard normal distribution, Student's t-distribution, chi-square distribution, use of statistical tables according to your course. • Statistical inference: sampling, estimators, point estimation, confidence intervals, margin of error, degrees of freedom, confidence level. • Hypothesis testing: null hypothesis H0, alternative hypothesis H1, significance threshold, p-value, one-tailed or two-tailed test, test on a mean, test on a proportion, chi-square test, interpretation of results. • Exam preparation: reading statements, choosing the right method, identifying the formulas to use, typical exercises, past exams, guided corrections and problem-solving methods. Method of working : 1. We quickly identify the chapters that are causing problems; 2. I re-explain the theory with simple examples; 3. We redo the important exercises together; 4. I will show you how to recognize good reasoning in the exam; 5. We construct a clear method that can be reused independently. I don't just provide a correction: I explain the reasoning step by step so that you are able to redo the exercises without help. For students retaking the exam, I also offer more intensive support: level assessment, priority identification, review of fundamentals, and practice with typical exercises and past exams. The goal is to get straight to the point and work efficiently within the time available before the exam. I have been giving private lessons for over 7 years in mathematics, statistics, economics, and accounting. I have also tutored first and second-year Bachelor's students at Solvay/ULB in mathematics, statistics, and microeconomics as part of a university tutoring program. My professional experience in finance and business controlling at Deloitte has also allowed me to develop a very structured approach to numbers, analysis and problem-solving. Courses available in French or English, online or in person in Brussels or the surrounding area.