DATA CLEANING IN
SQL
In this project we cleaned housing data in SQL Server.

Result-oriented Data Analyst with Master's in Business Analytics and expertise in SQL, R programming, Excel, SPSS, SAS, Python, PowerBI and Tableau. Skilled in analysing large datasets, identifying trends and patterns, and presenting insights using interactive dashboards and visualisations. Proficient in data modelling, data mining, and statistical analysis. Adept in collaborating with cross-functional teams to drive data-driven decision-making.
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In this project we cleaned housing data in SQL Server.
Productivity is a key factor in industrial globalization since it affects how effectively and competitively businesses operate on a global scale. In this Project, I predicted and forecasted employee productivity rate in a garment industry from a dataset on UCI performing machine learning algorithm like Decision Tree Model, Regression Model and Time Series Model.
The pizza industry, with its mouthwatering appeal and widespread popularity, has become a fiercely competitive marketplace. From small local pizzerias to large national chains, businesses in this industry strive to stand out and capture the hearts (and taste buds) of pizza enthusiasts. In this landscape, effective marketing strategies play a pivotal role in driving success and ensuring a slice of the market pie. In this project I performed EDA and time series exponential smoothing with dashboard on pizza dataset from Maven analytics using Microsoft Execel
This project we analyse a business case of Effect of Online teaching on student performance using covid-19 dataset of Northumbria University. SAS and SPSS was used to analyse this data set and test such as Linear regression was used to check relationship between variables. This project was a project carried out in my first semester as a MSC in Business Analytics student in Northumbria University.
In this project, I and my group members analysed a sales dataset of a gadget store. This project was done in my first semester as a MSc student in Business analytics in Northumbria University. We were able to explore and manipulate the data to get the necessary insights on how to boost sales in some cities in United States and also to get insights on the best and worst sales products. This was done by Using R Programming.
Data Exploration of Covid 19 Dataset in SQL Server.
This capstone project is the final project in my Google Data Analytics Professional Certificate course, In which I analyze a public data set (Cyclistic Bike Share Case Study) with R Programming.
This holds all my Tableau Visualization Projects.