Overview

"The goal is not to understand data, but to understand the world through data."
- Hans Rosling

About me

My journey in data science began with the thrilling realization of its potential to solve complex problems and make a real impact. Determined to integrate my STEM background with this powerful field, I embarked on a path to generate meaningful insights from data that will improve lives and shape a better future.

With 3 years of diverse experience under my belt, I have tackled challenges across various fields, collaborating seamlessly with cross-functional teams and stakeholders, honing my skills in problem-solving and data analysis.

Acknowledging the rapid growth that exists in the Technology sector, I am actively expanding my portfolio and keeping abreast of industry advancements. My goal is to provide the most effective solutions to complex problems by leveraging data's power for positive change

Skills

Technical Skills

  • Python (NumPy, Pandas, ScikitLearn)
  • R
  • SQL (Postgresql, Sqlite)
  • Tableau
  • Microsoft Excel
  • SPSS
  • Microsoft Office tools (Outlook,
  • Jira

Projects Overview

Below are highlights of some real-life problem solving projects that I have worked. Click to view the full project

RFM Analysis Using Python

In this project, I delved into the world of marketing to perform customer segmentation analysis and built a dashboard using Plotly and Dash. The insights extracted show how these three metrics, Recency, Frequency and Monetary Value, provide information about customer engagement, loyalty, and importance to the business.

Credit Card Fraud Prediction in Python

In this project, I explored and analyzed a highly imbalanced dataset using Python and different machine learning algorithms to train and develop a classification model that predicts credit card fraud with high accuracy.

Telco Customer Churn Prediction Using R

Revolutionizing the way telco companies retain their customers with advanced machine learning techniques. In this project, I developed a classification model, that predicts the likehood of customers to churn by analyzing extensive data on customer behavior and preferences, providing valuable insights into customer retention strategies.

Dashboard Visualization using Tableau

By leveraging on Tableau, I am able to showcase my expertise in creating interactive dashboards that allow users to explore and understand their data by exploring complex data sets and providing users with valuable insights at a glance.

Data Exploration with SQL

This project demonstrates my ability to manipulate different datasets, extract valuable information, and transform raw data from complex and relational databases using SQL.

Heart Disease Prediction using R

Here, I used R to explore and analyze the heart disease dataset and developed a classification model that predicts the occurence of heart disease when exposed to a combination of lifestyle features.

Web Scraping in Python

With the help of powerful Python libraries, I extracted valuable data from websites at scale in this project. By automating the data collection process, this project focuses on my ability to quickly gather and analyze large amounts of data from multiple disparate sources

To explore more of my projects, click here

Experiences

For more information about my qualifications, experiences and skills, Here's my resume for your perusal.

Contact Me

Would you like to reach out to me for a job or collaboration?
Kindly leave a message in the form below.