Ich bin ein sehr geduldiger Nachhilfelehrer! , -)

I HAVE •One Complete Session Experience to teach COMSATS MS, MSc, Phil faculty for TOEFL, GRE, IELTS, GMAT,NTS Test for HEC Scholarship •9 Years of experience to teach GRE, SAT, GMAT, TOEFL iBT, IELTS & English Language Development as a full course with Global.Ed British Council Certified & Registered •3 years working experience with PRINCETON REVIEW, USA, Islamabad (SZABIST) as a visiting faculty for IELTS, PRE-IELTS, English Language Development, Business English, GRE, GMAT, SAT. •Producer of 8 Titles on GRE, TOEFL iBT, GMAT, SATs, IELTS, TIES, NTS, Business English & Communication, Technical Writing •3 years experience of management, teaching, teachers training and academic quality launching of international and national standards of IGCSE, GCSE, O-LEVELS, and A-LEVELS with Ten Directions Pte Ltd, British Council Certified & registered company •Associated with NPO, Ministry of Production & Industries, Govt. of Pakistan on training and consultation basis for teacher’s trainings, KAIZEN educational approaches, and soft skills courses as National Register Trainer & Consultant •3 Years of experience of promoting Education UK as a British Council Education UK representer for O-Levels, A-Levels, Under Graduate, Graduate and Research Degree programmers in disciplines like Engineering, Medical, IT, Business Administration, Commerce, English etc. for GIKI, Fatima Jinnah Women University, Beacon House, The City School and for British Council Certified & Registered Forums.

Patient and experienced in teaching. Able to communicate with student to solve any problem faced in academic.

i tend to be interactive rather than allowing the class to be monotonous

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