A passionate Data Analyst
I am a Data Analyst with a genuine passion for turning data into impactful insights that shape
businesses and communities. Numbers, math, and coding have fascinated me since I was young –
anything that involves calculations, problem-solving, and logic. Data analytics is where all
these interests collide and create magic, allowing me to find the creative expression of numbers
and to craft stories from complex data sets, which just clicks perfectly for me!
I have deepened my data analytics journey through courses like the Google Data Analytics Professional
Certificate and the Generation Data Analytics Bootcamp. These experiences have given me the
tools – SQL, Python, R, Excel, Tableau, and Power BI – to transform data into actionable insights.
I find it so enjoyable when working on data, unravelling trends from vast datasets and making
them understandable for everyone.
Beyond the technical skills, my background as a geologist, drummer, and lighting specialist has
fine-tuned my soft skills – problem-solving, communication, teamwork, and many more – all honed
through diverse experiences that make me a well-rounded Data Analyst.
Remember to check out my personal projects in the section below!
The different phases of data analysis from asking effective questions for defining the problem, preparing/processing/analysing data, to sharing the results and key findings which helps in data-driven decision making
Identify and define problems in order to give recommendations by using data in an organized, step-by-step manner.
Data generating/capture, data cleaning, data management, data analysis, and data visualization.
Create visualizations and dashboards, present engaging data-driven stories.
View on Kaggle
View on Github
View on RPubs
Tool used: R
The aim of this project is to provide an overview of the bicycle thefts in the United Kingdom across the
past three years (from 1st November 2019 to 31st October 2022), and to reveal any possible trend or
pattern of the thefts and other insightful information.
View on Kaggle
View on Github
Tools used: SQL (Google BigQuery), Tableau
The main objective of the project is to identify any possible trends in the fitness data from smart devices in order to
provide recommendations for Bellabeat's (a company that manufactures health-focused smart products for women) marketing
strategy to help reveal opportunities for the company's growth.
View on Github
Tools used: Python, SQL (SQL Server)
Analysis on Microsoft's AdventureWorks2019 sample database.
View on Kaggle
View on Github
A simple Tic-Tac-Toe game in Python.
View on Kaggle
View on Github
The card game Blackjack (1 vs 1) in Python.
View on Github
Tool used: Power BI
Analysis on the public dataset
Brazilian E-Commerce Public Dataset by olist
about the sellers' performance.
Identified insights and recommendations are shared to improve olist's revenue generated by their sellers.
View on Github
Tools used: Python, Power BI
Digital marketing campaigns performance analysis of a fictional dataset
which is provided by a client of a marketing agency. Analysis includes click-through rate, conversion rate,
trends over time, month-over-month change, and performance in terms of the marketing funnel.