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Private teachers in Miami Beach

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24 private teachers in Miami Beach

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24 private teachers in Miami Beach

Trusted teacher: 👋 Do you find math difficult, confusing, or do you feel it's holding you back academically? You're not alone. Many students lose confidence because they lacked a solid foundation or because the pace of the class wasn't right for them. The good news is that it is possible to learn math safely and without stress. I am Eduardo, a mathematician and teacher with more than 10 years of experience in online teaching internationally. 🎓 I work with students from: ✔️ International Baccalaureate (IB) School Classes focused on deep understanding, problem-solving and preparation for IB-type assessments and exams, using specialized material and clear strategies. ✔️ University Classes in Basic Mathematics, Differential and Integral Calculus, Differential Equations, Linear Algebra, Topology, among others. I have accompanied students of Economics, Administration, Engineering and Science, helping them to pass demanding courses and significantly improve their academic performance. 💻 What do you get in my online classes? 🔹 100% personalized classes, adapted to your level, pace and goals. 🔹 Clear, patient, and pressure-free explanations. 🔹 Flexible schedules that fit your availability. 🔹 Specialized digital material and progressive exercises. 🔹 Continuous follow-up and direct communication with me. 🔹 Visible results from the first weeks, reflected in greater understanding, confidence and better grades. 📌 My goal is not for you to memorize formulas, but for you to understand, gain confidence, and be able to solve problems on your own. 📩 If you want to improve in math and leave frustration behind, write to me and let's talk. Together we will find the best way to help you move forward.
Math · Algebra · Calculus
Trusted teacher: 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
Statistics · Economics for adults · Computer programming
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