Taniya Dubey's Projects
In this project, a business problem is solved with the help of Advance Statistics tools. Skills and Tools Probability, Probability Distribution, Hypothesis Testing
the data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.
Objective: Extract, clean and analyze customer reviews and improve customer satisfaction for British airways Challenges: Utilizing natural language processing techniques
Data Analysis of Go digital customers data
This project explored the art of problem-solving with the aid of visual analytics. Tableauβs data visualization tools were used to create interactive dashboards to provide high-level insights to the CEO of an Insurance company to drive the company's policymaking #BusinessIntelligence #Tableau #DashboardDesigning
Develop a machine learning model to predict customer behavior for a fictitious grocery store named gala groceries.
Data Analysis of a Fictitious company named Sprocket Central
Build a model, to predict which party a voter will vote for on the basis of the given information, to create an exit poll that will help in predicting overall win and seats covered by a particular party. Text Analytics of 3 speeches of the Presidents of the United States of America .
The project involves conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a grocery store can increase its revenue by popular combo offers & discounts for customers.
This project aims to find the underlying buying patterns of the customers of an automobile part manufacturer based on the past 3 years of the Company's transaction data and hence recommend customized marketing strategies for different segments of customers.
1. Digital Marketing Advertisement Data Segmentation using clustering techniques. 2. Identify Optimum Principal Components that explains the most variance in the Primary Census data.
The goal of the problem is to predict whether a passenger was satisfied or not considering his/her overall experience of traveling on the Shinkansen Bullet Train.
Data-Cleaning-EDA-using-SQL In this project we analyse a dataset we got from 'Real World Fake Data' using SQL
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