Database/datasets analysis utilizing SQL and Python and offering recommendations and insights that enhance your organization's decision-making process.

We have this hotel business' database and business problems which we solve by querying the database. We then provide recommendations and insights.

A pharmacy has tasked us with business problems solvable by querying their Database. We drew insights and provided recommendations to the business problems.

The motorbike dealer tasked us with business problems along with the business database which we are to query and provide recommendations based on the problems.

We will employ various SQL techniques like UNION, CTE AND AGGREGATION FUNCTIONS to query the DB

The sakila DB is a fictional database for a rental DVD Store, used for educational purposes. We will query it to derive some basic insights

We have an online shop database which is already clean. We will query it to gain insights that will enrich data-driven decision making.

The database is of a fire brigade firm. It includes data such as members and equipment. We query it to gain beautiful insights that will help arrive data-driven decisions.

We analyze the customer dataset with the sole intention of extracting as many useful insights that may help the bank's shareholders make decisions that will keep them financially healthy.

Our aim is to extract insights on how Pizza Hut can stay financially healthy, from their revenues and sales data.

An analysis on the correlation between exam scores and number of hours invested in studying and attempt at predicting student's scores from study hours

This analysis deduces day to day insights of Herman Traders' supply chain operations, insights meant to streamline the operations to improve efficiency, increase profits and cut costs.

This analysis exhausts a grocery store's sales from 2020 to 2023 and provides business insights from the statistical methods applied.

This analysis assumes we have an investor for a customer who seeks our guidance on deciding in which genre should he venture to considering its profitability and low capital.

This analysis aims to help you understand Lego's growth via themes released and number of products released from 1949 to date.

This analysis provides insights deducted from a fictitious Netflix userbase dataset.

This repo wholesomely analyses fortune 2000 companies year 2020.It deducts aspects like profit ratios, correlations between variables, profitable/non-profitable companies and performs a regression …

This analysis provides insights on a scotch whisky dataset. Insights are such as correlation between ageing periods and their prices, mean and median prices of whisky categories e.g., Blended Malt …