Kabirat Fikayo Asimolowo

Data Analyst || Data Scientist @analysewithKabirat

ABOUT ME

Hi, I am Fikayo

My journey into data analytics began with a thesis project focused on health data analysis, where I uncovered actionable insights that improved patient health outcomes. By applying rigorous analytical techniques, I guided medical consultants in integrating social networking into health and medication management practices. Building on this foundation, I gained professional experience as a Data Analyst, where I applied tools like SQL, Python, MS Excel, and MS Power BI to clean, analyse, and visualise complex datasets. In this role, I delivered actionable insights that helped inform decision-making and optimise business processes. Through my pursuit of a master’s degree in Data Science, I have garnered more knowledge in problem-solving using data science techniques including the technical use of SQL, R, and Python. With expertise in data extraction, statistical analysis, data analysis, visualisation, predictive modelling, and data storytelling, I am passionate about solving real-world problems and creating value across industries.

PROJECTS

Below are some projects I have completed to showcase my ability to query, clean, analyse, visualise, and model data using languages/tools like SQL, Python, MS Excel, MS Power BI, and Tableau.

The goal of this project is to clean up the NashVille Housing Dataset using SQL.

This project classifies breast cancer into two types, benign or malignant.

This project focuses on data cleaning, analysis, and visualization using Microsoft Excel.

This project focuses on exploratory data analysis of netflix dataset.

This project focuses on cleaning the FIFA 2021 dataset.

This project helps Onyx Pie bakery to improve business by gathering insights from the last 2 years of pie sales. DataDNA Dataset challenge -March 2022.

This project focuses on data exploration of four courses offered on Udemy.

This project focuses on data exploration of mobile phone price dataset and classifying prices as high cost, medium, and low cost.

This project aims to build a full business analysis dashboard for SampleStore.

This project classifies Credit Card Approval into two types, approved or unapproved.

Location

United Kingdom /Remote work

Phone

+44777-8568-617

Email

asimolowokabirat@gmail.com

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