Data Analytics

I have a good hand on working with Advanced Excel, R and Python. I have quite a good knowledge of Machine Learning Algorithm for Regression, Classification and Clustering. I have also developed dashboards and Shiny Web Application in R. I understand the project requirement and will deliver the desired product within the time specified.

Hi I am a very experienced statistician and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, WEKA and excel tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

I ain't an intermediate level freelancer, but i assure you i can provide you quality work. I hold a Bachelors degree in Statistics with strong background of Pure Statistics including a strong grip on statistical software including SPSS, Excel, Minitab, STATA, SAS, Mathematica, Statistica and Eviews. . Brilliant skills in Multivariate methods, Factor Analysis, Discriminant Analysis, Logistic Regression, Panel Data Analysis: Fixed Effect & Random Effect Models, ANOVA, Simple Linear Regression, Multiple Linear Regression, Non-Linear Models, Generalized Linear Models, Poisson Regression, Binary Data Analysis, Z-test, T-test, Chi-Square Test, F-test, Parametric Methods, Non Parametric Methods, Best Model Selection, Problems related to Probability, Sampling, Calculus, Economics, Mathematics and vice versa. I hope if you are going to hire me, I ain't going to disappoint you. Infact, i will try my best to provide you quality work beyond your expectations. Looking forward for your kind response. You may visit my profile at freelancer.com for your satisfaction https://www.freelancer.com/u/raheelakhurshid.html

Hi. I'm a programmer from Russia with strong skills in Python. You can see the full list of my skills on my profile page. I have good experience in developing applications using databases and SQL queries. Mostly I worked with SQLite, but I'm also familiar with MySQL. I'm good with version control systems, I worked with Git and Bazaar, but I'm able to learn other systems as well. My knowledge in this field includes simple actions like staging changes, commiting them to a local repository, pushing them to a remote one, merging changes, branching, and more complex actions like resolving the conflicts etc. The main field of interest that concerns your project is machine learning. I have skills in computer vision, regression analysis, neural networks, fuzzy logic, clusterization and classification tasks. Other field that is related to the project is Statistics and Probability theory. I have basic skills in sampling techniques, statistical inference, probability distributions, data visualization and so on. I can work up to 40 hours a week and I'm looking forward to long-term work, few months are also good for me. If you're interested, feel free to contact me. All the best, Sergey.

I understand that I need to combine the data from various sources, and perform exploratory analysis. I use lm(LM) or aov (AOV) to make sure I set the contrasts and perform the ANCOVA in R. I also use multcomp, pastecs, WRS. I need to furnish the results in plots. You may have the code too, properly commented, if you (by DEFAULT) like, with it. In addition, I'd like to mention some more about the tasks I'm good at below. I'm able to do the following: 1) visualizations using ggplot2, and others 2) create linear regression models suing CART family like C5.0 and rpart 3) create linear classification models 4) exploratory analysis including histogram, PCA, greedy maximization 5) svm, knn, k-means, rule-based 6) machine learning using randomforest, mxnet, deepnet Project: It would be great if you could furnish more details: 1) What are exact deliverables? 2) Do you need any documentation? 3) How are you planning to share the data? 4) Do I need to use rhadoop, sparkr etc to connect to remote databases? Me: I use Ubuntu with R n RStudio. I'm a research student in machine learning applications. Kindly let me know, and we can finalize on the project ASAP, if you find my proposal interesting. Thanks! Have a great day!