Statistical Model building

I am a statistical analyst, 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 Analysis, Factor Analysis, Discriminant Analysis, Logistic and Multiple Logistic Regression, Panel; Cross Sectional & Time Series Analysis, Fixed & Random Effect Models, ANOVA, MANOVA, ANCOVA, Principal Component Analysis, Simple & Multiple Linear Regression, Non-Linear Models, Generalized Linear Models, Control Charts, Hypothesis Testing, 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 Inference, Estimation, Probability, Sampling, Calculus, Economics, Mathematics and vice versa. In-spite of data analysis task, I deliver high quality content on time at an affordable price. My work is done efficiently and effectively, & I meet clients' needs

Hi, I can help you with the assignment. send me the question and I will do them within the specified time.

Hello sir ! We are a group of expert, each with a master's degree in economics and statistics , we have a good experience and brilliant skills in statistical model building and regression using many statistical softwares, we promise you for a quality work. at an affordable price on time. We are waiting for good news from you Best regards

I will do this job in less money as I need 5 star reviews on freelancer Relevant Skills and Experience I will do this job in less money as I need 5 star reviews on freelancer

Good day chief. Please let me know your questions. Thanks for considering my request. Regards, Vibin

Description: The project involved a detailed study on below mentioned business problems  Prediction of future Sale volume of multiple distributors for weekly shipment and stores for daily sales for different Products  Segmentation study across different international markets  Switching Analysis of Brands and effect of promotions  Assortment Analysis on Consumer Behavior and brand attributes Role and Responsibilities:  Understanding Clients’ business problem and formulating it into quantitative research plan.  Analyzing different consumer level data with the help of various analytical and statistical methods  Applying Machine learning and Predictive analytics techniques like- Regression, Multinomial Logistic Regression, Time Series, Decision Tree, CHAID, PCA, Cluster Analysis, to build predictive models, segment the markets and to get future values of orders/Volume/revenue for Daily, weekly, monthly and annual basis  Analyzing large dataset of customer behavior in the CPG industry in order to identify patterns and correlation based on their past purchasing behavior, geographic and demographic location.  Presenting a comprehensive report of complex analysis in easily understandable Excel and PowerPoint documents, allowing clients to quickly engage with the findings  Designing and creating analyzed data reports to help business executives in their decision making  Interacting with different teams for data integrity and validation.