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Calistus Ndubuisi

Web Design | SEO Specialist at Webbiit

Data Analytics at Nexford University

Nigeria

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Hi, I'm Calistus Ndubuisi!

Web Design | SEO Specialist at Webbiit

Data Analyst with expertise in Power BI, Excel, SQL, and machine learning. Skilled in data visualization, statistical analysis, and delivering actionable insights to drive business growth. Currently pursuing a Master's in Data Analytics from Nexford University and seeking to enhance operations and customer experiences through data-driven strategies..

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Experience

Education

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Projects

TATA DATA VISUALISATION: JOB SIMULATION ON FORAGE

https://forage-uploads-prod.s3.amazonaws.com/completion-certificates/Tata/MyXvBcppsW2FkNYCX_Tata_9zy2Nf2reaigyFftX_1700227515306_completion_certificate.pdf

Intern

  • Completed a simulation involving creating data visualizations for Tata Consultancy Services.
  • Prepared questions for a meeting with client senior leadership.
  • Created visuals for data analysis to help executives with effective decision making
  • Developed an ANN using the Breast Cancer Wisconsin (Diagnostic) dataset to classify tumors as benign or malignant.
  • Conducted data exploration, normalization, and oversampling to handle class imbalance.
  • Evaluated model performance using accuracy, precision, recall, and ROC-AUC, achieving 99% diagnostic accuracy.
  • Demonstrated the potential of machine learning in medical diagnostics and decision support systems.
  • Developed a Flask web application for collecting and analyzing income and spending data for a healthcare product launch.
  • Integrated MongoDB for data storage and implemented data processing and visualization in a Jupyter Notebook.
  • Visualized insights such as income distribution by age and spending patterns across genders using Matplotlib.
  • Deployed the application on AWS EC2, enabling remote accessibility and scalability.
  • Implemented a machine learning pipeline using the Online Retail II Dataset to segment customers and predict churn.
  • Derived RFM (Recency, Frequency, Monetary) features and applied K-Means clustering to identify customer segments.
  • Built an Artificial Neural Network (ANN) using TensorFlow, achieving over 90% accuracy in churn prediction.
  • Delivered actionable insights to enhance targeted marketing campaigns and improve customer retention.

Languages

English

Professional

Skills

MySql

SQL

Machine Learning

Python

HTML

R

Tableau

MongoDB

matplotlib

Microsoft SQL Server

Communication

Power BI

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