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Aquí introduce solo palabras clave que no sean asignaturas.
p. ej. "paciente" o "preparación de exámenes", etc.
Además, también se busca en los textos de los perfiles de usuario. Pero no en las asignaturas.
CLASES PARTICULARES Market,Segmentation
También se buscan los siguientes términos: Market Segmentation
CLASES PARTICULARES English, Business English, Czech, Math, ... English and Czech -university level, Math-Calculus level, Ayurve...
UC Berkeley, BS in Business, Haas School of Business
H&R Block, Tax Course, Certified Tax Preparer + California College of Ayurveda, Clinical Ayurvedic Specialist
Market Study and Ayurveda presentations. US taxes preparations.
CLASES PARTICULARES Mathematics, Physics, Chemistry, Account... High School, College
CLASES PARTICULARES VLSI, Embedded, C, ARM processor To BE, ME people or who are looking for job
CLASES PARTICULARES Mathematics, Statistics A levels
CLASES PARTICULARES COMMERCE ADVANCED
CLASES PARTICULARES Chinese, CFA, Finance, Economics, Math, ... Proficient
CLASES PARTICULARES java, software engineering, operating sy... M.Sc,MCS,BS(CS)
CLASES PARTICULARES MS-Exchange, AD, ISA, SQL, SCOM 2007, SM... Middle level and advanced
Maintain a breadth of knowledge in the Market sector, of industry standard frameworks and architectures as well as demonstrable technical expertise in deploying VMware virtualisation, MS Technologies such as Windows Server, Active Directory, Exchange Server /2010 SCC/CCR/2010 DAG clustering, ISA , MOM/SCOM 2007, SMS 2003, SCCM 2007, Antivirus solutions, Antispam Email gateway solutions, end-user training, managing etc
Exceptional teaching skills in the 'State of the Art' Technologies.
CLASES PARTICULARES Mathematics, Principles of Accounts GSCE
The skills that will enable me to be an effective teacher will be, first and foremost, the high degree of patience instilled in me when it comes to teaching students. That shall be followed by my strong and sound understanding of the subject that I am going to teach(In my case, that shall be mathematics).Other skills would be the meticulous teaching approaches I undertake to ensure that the students have a good grasp of the intended subject. Most importantly, I want to make sure that I give in 100% of my effort when teaching the students
Back in my home country (Singapore), I have given private tuition to a number of students on Mathematics and Principles of Accounts from the commencement of 1998.The students which I have been teaching range from ages 9 to 16.I have been doing this mostly on a part time basis in addition to my studies that I was pursuing in Singapore. During vacations, I undertake more tuition assignments on a full time basis. In all of these tuition assignments undertaken by me, I have been paid a reasonable amount that relates to prevailing Market rates at that time.
CLASES PARTICULARES COMMERCE, ECONOMICS, ACCOUNTS, LAW, STOC... KG TO PG
CLASES PARTICULARES Econometrics, Quantitative Trading, Quan... University
Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading.
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
CLASES PARTICULARES Job search, interview techniques, Englis... All levels
Crea ahora gratis y sin compromiso tu solicitud de búsqueda.
Porque: nos ocupamos y te hacemos propuestas, sin compromiso.
CLASES PARTICULARES Visual Basic, VB, Visual Basic for Appli... Beginner to Advanced
CLASES PARTICULARES Statistics, Matrix analysis, Linear Alge... Graduation
M.Phil in Bio informatics
My subsequent area of interest is Financial Engineering, Quantitative Finance (Discrete& stochastic modeling of financial Market) and data mining. I have sound Knowledge and experience of Hypothesis Testing, Regression Analysis and Random signal analysis. Time Seriese Analysis, Stochastic Process and Markovian Process Categorical Data Analysis.Class Prediction by K Nearest neighbor method, Support vector machine and neural network.Classification like Linear Disciminant Analysis, Quadratic Discriminant Analysis.Factor Analysis like Principal Component Analysis, Independent Componenet Analysis.Linear Algebra, Matrix analysis, Statistical Signal processing, Digital Signal Processing etc.
CLASES PARTICULARES Sales, Marketing, Brand Management, Adve... High scholl,Degree,PG
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¿Buscas tutoría? - Busca fuera de los perfiles de usuario.
Aquí introduce solo palabras clave que no sean asignaturas.
p. ej. "paciente" o "preparación de exámenes", etc.
Además, también se busca en los textos de los perfiles de usuario. Pero no en las asignaturas.





