Expertise in using Data Mining techniques like Correlations, Linear Regression, Logistic Regression, Data Cleaning, Decision Trees and Cluster Analysis in Operation, Supply Chain and Customer Analytics.
Extensive experience in using R and SQL for statistical data analysis.
Rich experience in Monti Carlo Simulation and Linear programming.
Good experience in designing interactive visualisations using R shiny and Power BI.
Rich experience in text analytics.
Rich experience in design of experiments to test the performance of websites in different real world scenarios.
Rich experience in Automation (VBA) of Software Quality Assurance process.
Good Experience in charting like (Bar chart, Pie Chart, Box Chart, Histogram Chart, Line Chart, Scatterplot, Adding Legends to plots in R, Adding Text to a Plots in R.)
Good Experience in Neural Network Model (Case updating, batch updating, Weight and Bias updation, Stopping criteria, Analyst Decisions).
Good Experience in Naïve Bayes Model, Bayesian Analysis.
Rich hands on experience in R packages dplyr, ggplot2, lm, rpart, tm, kmeans etc.
Good Experience in Merging, Binding of data in R.
Good Experience in R markdown.
Good Experience in Time Series problems.
PROJECT NAME: - Movie Revenue – Prediction Model.
Project Description- Goal in this project was to build a linear regression model that can predict the `Gross` revenue earned by a movie based on other variables.
Approach-
1. Data cleaning by removing the rows with missing