Highly motivated Data Analytics enthusiast with hands-on experience in machine learning, data mining, predictive modelling, statistical analysis and data visualization. Proficient in utilizing Python, SQL and Tableau to extract valuable insights from complex datasets. Seeking to further expand knowledge, embrace challenges, and excel in the ever-evolving field of Data Science.
Business problem to identify which region has maximum sales volume, which type of products are sold the most, how much revenue the E-Commerce Company makes.
Solve the given problems on Probability, Probability Distribution, Hypothesis Testing, and ANOVA topic using the technique you have learned in the Advanced Statistics Module.
Digital Marketing Advertisement Data Segmentation using clustering techniques and Identify Optimum Principal Components that explains the most variance in the Primary Census data by performing EDA and then performing Clustering, PCA as per the requirements in the data.
Predict which party a citizen is going to vote and the answers given by the citizens to the questions asked in a survey conducted. Analysis of the inaugural U.S.A. Presidential speeches and draw inferences based on the analysis.
Order management functionality of an online retail store. Help the company in making data driven decisions that will impact the overall growth of the online retail store.
Forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales.