Looking for an econometrics and statistics guru

Hi, I am a candidate with 5 years of Experience in Data Science and Market Research. I have been using R over 3 years and well versed with Statistical Modeling, Machine Learning, Data Visualization using ggplot and Rmarkdown. I am well-versed with R Development as well where I can create custom R/Python packages with custom functions, package documentations, code sanitization, unti test cases, regression testing, smoke testing and production/integration of R scripts with Powerbi/Tableau I can handle data in a big data environment using SparkR, access data from SQL servers,API, extract data using web scrapping and Test mining the data into relational or non relational database DM me so that we can discuss the project further Regards, Sangamesh KS

Dear Customer, Hope you doing well. I am an expert data analyst. My expertise includes econometric modeling and data analysis using SPSS, Stata, E-Views, for business data analysis and data visualization, I am expert in MS Power BI, Power Query, and MS Excel. Furthermore, I have a basic knowledge of Python (pandas), SQL, and google sheets. I completed my M.Phil. degree in Economics in 2016 and I passed the degree in the top 10% of students. Before this, I completed my bachelor's degree in Economics and statistics with distinction. I am working as a data analyst and technical/academic writer for more than six years. during this course of time, I worked on time-series, cross-section, and panel data sets. On the business side, I have analyzed and visualized sales data, marketing data, cost and revenue data, and customer data. Given my experience and expertise, I am a suitable candidate for the project. I am sure I can finish it in-time without compromising the quality of work. Please consider my proposal. Looking forward to hearing from you. Thanks Regards

Hello I am economist, I worked in Central bank for about 5 years so I have experience running minimal ordinal square models and make econometrical forecast, between others skills

Hello, I have read your job post and I am interested in the same. I have a B. Tech (Computer Science) and MBA from the very best universities in the country with an acceptance rate of 0.01% of the applicants. I have been doing academic writing for over 5 years now. I have worked with students from the US, UK, UAE and Australia in different domains ranging from Economics, Econometrics, Advanced Economic Theories (both Micro and Macro Economics), Finance, Accounts and others. I can also work on data analysis using Eviews, SPSS and R. I am well versed with the nuances of academic writing like the referencing styles and plagiarism. I will provide you with a Turnitin report for the same with each assignment. I have assisted students from graduation, masters and Ph.D level with their thesis or other work. I can assist you in a single assignment or take up your entire course. I can assure you in terms of quality and deliverables. Please do send me a message in case you have any questions.

I have advanced degree in macroeconomics and I am expert in macroeconometrics using EViews, SPSS, STATA, R and Advance Excel. I am expert in advanced time series analysis; I build regression models for: LV(p) Models, LVARMA(p,q,r), ARMA, ARIMA, ARCH(a), GARCH(b), and TARCH(c) Models, TGARCH(a,b,c), ARCH(a), GARCH(b), and TARCH(c) Models, TGARCH(a,b,0) Models, TGARCH(a,b,c) Models, apply GMM Estimation Method, TSLS Estimation Method; make forecasts with Time Predictors; apply ARMA(q,r), ARIMA(p,d,r) Models of HS on MONTH by YEAR; apply LVAR(p,q) Additive Models of Growth by @Month with @Trend; apply VAR/VECM Models Based on (X1t,X2t,Y1t), present Causal Relationships with impulse response analysis and variance decomposition. I will calculate descriptive statistics – mean, median, mode, std. deviation, variance, skewness, kurtosis, frequencies, percentiles, maximum, minimum and range – as to measure distribution of the data and its variability, deviation from normality, spread of distribution, stability of sample error and statistical significance; conduct chi-square, t-test statistics and cross-tab test as to evaluate relation between observed values and expected values; conduct independent samples t-test between variables of same interest without overlapping effect; conduct paired sample t-test between the variables having both conditions of interest; conduct one sample t-test to measure the distribution of mean difference from specified mean value.