Hallo,

ich gebe Nachhilfe in den oben erwähnten Fächern. Mathe kann ich bis zur 10. Klasse geben. Alles andere auf jedem Niveau von Grundschule bis zur Uni. Ich bin 38 Jahre alt und lebe in Australien. Bei Interesse würde ich ein kostenlose Probestunde vereinbaren, bei der man sich kennenlernen kann.
Preis nach Vereinbarung. Als Grundpreis 70 € pro 60 minuten. Zuschlag ist abhängig vom verlangten Niveau (da dadurch die Vorbereitung aufwendiger ist). Da ich mich in Australien aufhalte ist wohl Online Nachhilfe am wahrscheinlichsten.
Termine nach Vereinbarung. Der Zeitunterschied beträgt je nach Jahreszeit 8-10 Stunden.

(A) Teaches B.Sc. Biotechnology students in BIMS, Burdwan, WB
(B) Preferred: Graduate & Post Graduate in Zoology, Entomology, Molecular Biology, Biochemistry
(C) Brief Resume
ACADEMIC APPOINTMENTS AND EXPERIENCE:
1. Defence Research Laboratory (DRDO)
Post Bag No. 2,
Tezpur–*, Assam, INDIA
Junior Research Fellow (JRF)
(PhD scholar), 2 years
Senior Research Fellow (SRF
(PhD scholar), 3 years
2. National Centre for Disease Control (Min. of Health & FW) Deputy Assistant Director (Entomology) Present
PUBLICATIONS:
International: 8rnConference: 7
EDITORIAL RESPONSIBILITYrnAssociate Editor in Journal of Entomology & Nematology (ISSN:2006-9855) from August 2009
PROFESSIONAL MEMBERSHIPrnNational
I. National Academy of Vector Borne Diseases, India (Life member
II. Zoological Society of Assam, India (Life member
III. Indian Science Congress Association, India (Member
IV. Entomological Society of India (Member
International
I. International Society of Zoological Science, China (Member
II. International Society for Infectious Diseases (Corresponding Membership
III. The International Society of Integrative Biology (Online Member
IV. South-South Initiative for Tropical Disease Research (Online Member

SUPERVISION OF STUDENTS FOR TRAINING/COURSErnI supervised six B.Tech (Biotechnology) students for their training/course in 2008 & 2009.
HIGHLIGHTS OF EXPERIENCE / RESEARCH SKILLS
Basic Zoology/Entomology
•Identification of medically important insects, especially mosquitoesrn•Establishment & rearing of insecticide susceptible and resistant insectaries (mosquitoes & house fly)
•Insecticide Resistance Management & Integrated Vector Control Strategiesrn•Knowledge of insecticide testing techniquesrn•Working knowledge of pesticide application techniques & equipmentrn•Determination of Plasmodium sporozoite rates in Anopheles mosquitoes by dissection, CS-ELISA & molecular methodsrn•Mosquito blood meal analysis through ELISA & PCR methodsrn•Entomological measures of risk of malariarnBio–Toxicity / Susceptibility Assay:
•Insecticide susceptibility assay, status monitoring, & management
•Bioassay of insect both larvae & adult against chemical insecticides
•Evaluation of herbal and bacterial larvicidesrnMolecular Biological Techniques
•Genomic DNA preparation from insects, fungus and malaria parasite by different methodsrn•Polymerase Chain Reaction (PCR): standard PCR, allele-specific multiplex PCR, nested PCR etc.; agarose gel electrophoresis, automated DNA sequencingrn•Real-Time PCR; TaqMan, SimpleProbe, HybProbe probe chemistry; Melting Curve Analysis, FRET/MCA; quantitative real time PCRrn•Restriction Enzyme digestion of DNArn•RNA isolation, Reverse Transcriptase PCR & cDNA synthesisrn•Cloning & gene expression
•Different types of sequence analysis, Primer designing (standard, allele-specific, degenerate, species-specific primers), Probe designing for SNP genotyping (TaqMan, SimpleProbe, HybProbe
Biochemical Techniques
•Spectrophotometric analysis of DNA, enzymes, proteins and other bio-moleculesrn•Estimation & quantification detoxifying enzymes & protein profiling: glutathione S-transferase, Cytochrome P450/Monooxigenase, Carboxylesterase, Acetylcholinesterase.
•Circum Sporozoite ELISA methodrn•Mosquito blood meal ELISA methodrnStatistics & Bioinformatics
•Different biostatistical analysis involving wide range of data from epidemiological, entomological, molecular, and other biological studiesrn•Expert in handling Statistical software packages like STATPACK, SPSS, and STATISTICArn•In Silico and mathematical modeling of proteins: comparative protein modeling, structure validation, functional residue prediction and docking (protein-protein, protein-ligand)
•Sequence analysis & annotation including similarity search, alignment, gene finding (ORF), database mining etc
•Phylogenetic analysis, Tree construction algorithms (NJ, parsimony, maximum likelihood methods
•Analysis of population genetics parameters
•Analysis of molecular evolutionary data: DNA polymorphisms, divergence, gene flow, genetic difference, linkage disequilibrium, recombination, different tests of neutrality (Tajima’s D, Fu & Li’s D, F test etc.), coalescent simulation etc
•Expert in handling software packages for molecular biological & evolutionary studies (e.g., BioEdit, Arlaquin, DnaSP, MEGA, DAMBE, and Mesquite etc.)

I am very optimistic guy, with an ambition to pass on my experience to society by sharing my knowledge.

I am a patient tutor and can control students easily.

I am an experienced and qualified tutor with more than 16 years experience in teaching undergraduate, post graduate and professional courses(ACCA/CIMA)

Ich bin eine Muttersprachlerin und komme aus Australien. Ich bin eine CELTA qualifizierte und erfahrene Lehrerin. Ich habe schon in einer deutschen Schule gelehrt, und habe auch privat Erwachsene gelehrt. Ich bin sehr geduldig und sympathisch. Bis bald!

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

The online classes can happen through skype also.

Relevant Units covered in Undergraduate Studies.• Applied Mathematics-1( Complex Variables, Vector Algebra, Calculus Taylors theorem, expansion of functions
in power series, partial derivatives of first and higher orders, total differentiation concept of commutative partial derivatives, Eulers theorems of homogeneous functions, deduction from Euler’s theorems ,errors, approximations, maxima and minima functions of two variables.)
• Applied Mathematics-2( Exact differential Equations, Linear equations & reducible to linear (Bernoulli equations), Linear Diff. Eqn. of nth order with constant coefficients, complimentary function & particular integral when the function of the
integral on the R.H.S. are exponential, Sin(ax + b), Cos(ax + b).Cauchys Linear equation( Homogenous eqn.). The Legendre Linear equation, Variation of parameters & method of undetermined coefficients. Elementary application of above diff. Eqn. in solving engineering problems from Electrical Engg., Chemical Engg., Mechanical Engg., and Civil Engg. Integral Calculus: Rectification of plane curves, Double and Triple integrals, Their geometrical interpretation & evaluation. Evaluation of double integrals by change of order and change to polar. Application of double and triple integrals to areas, volumes & mass. Beta & Gamma Functions.)

• Applied Mathematics 3(Fourier Series and Integrals: Orthogonal and orthonormal functions, expression of a function in a series of orthogonal functions,s ine and cosine functions and their orthogonality properties. Fourier series, Drichlet conditions, periodic functions, even and odd functions, half range sine and cosine series, Parseval's relation. Complex form of Fourier series, introduction to Fourier integral, relation with Laplace transform. Laplace Transforms: Function of bounded variable ( statement only ), Laplace transforms of 1, at, exp( at ), sin( at ), cos( at ),sinh(at), cosh(at), erf(t), shifting properties, expressions with proofs for L { t f(t) }, L { f(t)/t }, Laplace of an integral and derivative)

• Applied Mathematics 4(Complex Variables: Regions and paths in the Z plane. Path/Line integral of a function. Inequality conditions for a path integral to be independent of the path joining two points. Contour Integral, Cauchy's theorem for analytical functions with continuous derivatives. Matrices: Brief revision of vectors over real field, inner product, normal, linear independence, orthogonality. Characteristic values and vectors, and their properties for Hermitian and real Symmetric matrices. Vector Calculus: Scalar and Vector point functions, directional derivative, level surfaces, gradient, surface and volume integrals, definition of curl, divergence. Use of operator. Conservative, irrotational, solenoidal fields. Green's theorem for plane regions and properties of line integral in a plane.)

• Applied Mathematics 5(Probability and topics in Statistics: Statistical experiments with random outcomes, Sample space, probability defined on the basis of sample space and on the basis of events and their combinations. Theorem on probabilities, conditional probability. Bayes theorem. Random variable, probability distribution for discrete and continuous random variables. Density function and distribution functions. Expected values, variance , moments, moment generating functions, Bernoulli's trials, Binomial , Poisson, normal distributions for detailed study with proof, Other common distributions, T , F, Beta, Gamma, X with indication of the applications, Central limit theorem, Bivariate probability and frequency distributions, Correlations, regression, lines of regression. Introduction to random samples, use of random numbers, stochastic processes, Time series , queuing theory. Optimization Techniques- Problem formulation, Simplex Method, Revised Simplex Method, Duality & Sensitivity. Unconstrained optimization of several variables• Numerical methods for unconstrained optimisation : Random search & Univariate method, Fletcher Reverse method, Newtons method.)
• Discrete Mathematics ( Logic : Propositions and logical operations, Truth tables, Equivalence and implication, Laws of logic, Mathematical induction and quantifiers. Set theory : Method of proof for set, Venn diagram, set membership tables, definitions, Laws of set theory, Partition of sets. Permutations, combinations and discrete probability. Introduction to permutations and combinations, Generation of permutation and combination, Discrete probability, Conditional probability. Relations and diagraphs., Paths and the relations and diagraphs, Properties of relations, Equivalence relations, Computer representation of relations and diagraphs, Manipulation of relations, Transitive closure, Warshall’s algorithm.Function and pigeon hole principle Definition, Types of functions: injective, surjective, bijective, Composition, identity and inverse, Pigeon hole principle.Graphs , Posets, Hasse Diagram, Lattices, Finite Boolean Algebra, Groups & their Applications Introduction to Rings & Fields.)

Units covered in Postgraduate Studies.
• Advance Financial Mathematics (Access Grid Room -University of Wollongong): Brownian motion, Black-Scholes equation for pricing Digital options and Power options, Reflection principle and barrier options, Pricing options using Monte Carlo Simulations, Monte Carlo estimation methods for hedge ratio, Finite-difference methods for Vanilla options and Asian Options, C++ Programming.
• Financial Econometrics 2 (Monash University):Modeling asset return volatility, volatility modeling for measuring risk and pricing derivatives, continuous time stochastic Processes for pricing financial Derivatives, High Frequency data Analysis, Generalized Method of Moments in Financial Models.
• COMPUTATION IN Stochastics (Monash University): Stochastic differential equations, Taylor expansion of stochastic differential equations, Evaluation of option values. European option. American option, Optimization methods using C++.
• STOCHASTIC CALCULUS AND MATHEMATICAL FINANCE (Dr. Fima Klebaner- Monash University): Ito integrals and Ito’s formula. Stochastic Differential Equations and Diffusions, Calculation of expectations and PDE’s, Feynman-Kac formula. Martingales and Semi martingales. Change of Probability Measure and Girsanov Theorem. Fundamental Theorems of Asset Pricing. Change of Numeraire. Application to options.
• Stochastic Processes II - Random Walks & Markov Chains (Monash University): Simple Random Walks Discrete-time martingales. Markov chains, both continuous and discrete time.
• Applied Statistics: Sample Survey, Clustering, Classification, Principal Component Analysis and Time Series Analysis. (79/100).
• Game Theory and Applications (RMIT University): Strategic Form of Games, Incomplete Information, Cooperative Games.
• Nonparametric Curve Estimation (AMSI - Dr. Aurore Delaigle-University of Melbourne): Kernal Density Estimation, kernel Regression, Spline Regression, Wavelet Analysis and Bootstrapping.
• Financial Time Series (Access Grid Room- University of South Australia): Spectral decomposition, Box-Jenkins models, Forecasting techniques, Smoothing of time series, GARCH and other volatility models, Stochastic Differential Equations.
• Statistical Inference: Statistical Inference at the level of Lee Bain and Max Engelhardt (2000).

Following are the main subjects I provide tutoring in:

• Portfolio Management Theory
• Financial Management Theory
• Financial Statement Analysis & Business Valuation
• Corporate Treasury Management
• Quantitative Techniques for risk analysis
• And other related finance & statistics subjects.

Beginner & Advanced course on Microsoft Excel also offered.