a personal project done for a client

🥄 OmniGrub as a Chrome Extension utilizes Foursquare and Yelp's APIs to display restaurant ratings on DoorDash pages. This is made possible through the use of real time DOM manipulation to inject HTML into the page displaying the results of the API.

Collects, aggregates and visualises operational analytical data from water suppliers (including a standardised reporting document)

Helper functions for UMBERTO (https://www.ifu.com/umberto/) model output

This project uses BigQuery to query and analyze a large dataset of bike share trips, including data on trip duration, start and end locations, and user demographics. The analysis includes the use of SQL queries to aggregate and summarize the data.

Analysing data to gain insights to craft marketing strategies at the bike-sharing firm "Cyclistic" with the goal of converting casual riders into annual members.

Using advanced SQL techniques and Tableau visualization, this project explores workforce dynamics, managerial structures, and potential salary disparities within an organization's employee database. A flexible SQL stored procedure enhances the analysis, fostering a data-driven approach to organizational insights.

MS SQL Server

Crafting a marketing plan for Bellabeat, a high-tech manufacturer of health-focused products for women by analysing data from smart devices to see how customers use them.

This is a Capstone Project for the Google Data Analytics Professional Certificate. The objective of the project is to identify ways to turn casual riders into members at a fictional bike-sharing company.

An example of aggregating OHLC stock data using Data-Forge Notebook

Conducted technical analysis on the provided data for this project

Cyclistic bike-share analysis, this case study has been completed as the final capestone project for the Google Data Analytics Professional Certificate.

数据的聚合、查询组件

The aim is to gain insights into similarity between countries and regions of the world by experimenting with different cluster amounts.

Prediction modelling for a pet health insurance company called Trupanion. Originally written for a job application as a data scientist at Trupanion, now being modified to play around with clustering algorithms.

Learning materials, assignments, and helpful resources for professional certification. Completed October 2022

A dataset builder that uses the Spotipy API library and publicly available lists to build a large table of Spotify Artists, their genres, and their unique Spotify URIs.

Tasks from my course MYSQL at SoftUni