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Data Projects

Here, I share my journey in exploring insights from complex datasets through personal projects. As someone passionate about data, I've been dedicated to developing my skills in various analytical tools and methodologies. My aim is to contribute meaningfully to projects by offering insights and supporting decision-making processes. Feel free to explore some of the data analysis projects I've undertaken and see how I've applied my skills in practice.

01

Examining the Intersection of Gender, Technology Usage in Finance, and Economic Impact

For this project, I applied my expertise in data scraping, cleaning, analysis, and visualization using Python. The goal was to explore the influence of gender on technology usage for managing financial needs, with a focus on how this varies between Low Income Countries (LIC) and High Income Countries (HIC). Detailed insights and findings are available in the dedicated Jupyter notebook on my GitHub page

[here].

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02

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SQL-Driven Bike Sales Analysis

Deriving valuable insights from data opens doors to innovative approaches and solutions, and I find great satisfaction in contributing to this empowering process. In this project, I applied my SQL skills to analyze the sales data of three bike stores. My focus was on evaluating their sales and overall performance while also delving into ways they could enhance customer satisfaction.

For those interested in the details, you can access the comprehensive report presented in the format of a Jupyter notebook by clicking [here].

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03

Visualization of global suicide rates in 2016.gif

Visualization of the Global Suicide Rate  using Tableau

Tableau provides a robust and user-friendly platform for visualizing geospatial data. Leveraging this capability, I conducted an analysis on a  mental health dataset in this project to explore variations in suicide rates worldwide. The investigation delves into identifying top-ranking countries and examines whether this ranking is influenced by gender.

Explore the results of this analysis through the visual representation of the project on Tableau Public, accessible [here].

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