Calistus Ndubuisi
Web Design | SEO Specialist en Webbiit
Análisis de Datos en Nexford University
Nigeria
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Web Design | SEO Specialist en 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..
Experiencia
Webbiit
Web Design | SEO Specialist
April 2021 - Presente
- Managed and optimized WordPress websites, enhancing online visibility through proficient HTML editing and efficient web hosting.
- Implemented SEO strategies that increased website traffic and rankings, resulting in a 250% boost in conversion rates.
- Expert in WordPress customization, HTML editing, and web hosting management, consistently improving website performance.
- Successfully increased user engagement through effective SEO techniques, demonstrating a strong commitment to excellence.
Kreativstorm
Business Analyst (Training)
January 2024 - February 2024
- Collaborated with team to undertake strategic analysis, focusing on business planning and market analysis.
- Defined mission and vision statements for companies, conducted PESTEL, Porter's Diamond, and SWOT analysis.
- Developed strategic recommendations and presented findings to simulate stakeholder meetings.
- Honed analytical skills and gained practical experience in business analysis methodologies.
Educación
Análisis de Datos
Nexford University
Graduado en 2025
Certificaciones y Distintivos
No se agregó certificaciones o distintivos
Proyectos
TATA DATA VISUALISATION: JOB SIMULATION ON FORAGE
•https://forage-uploads-prod.s3.amazonaws.com/completion-certificates/Tata/MyXvBcppsW2FkNYCX_Tata_9zy2Nf2reaigyFftX_1700227515306_completion_certificate.pdfIntern
- 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
Cancer Diagnosis with Artificial Neural Networks
•https://github.com/romeofx/Breast-Cancer-Classification-Using-Artificial-Neural-Networks-ANN/blob/main/BAN6440_Milestone_2_Assignment_MD_Anderson_Cancer_Institute_Cancer_Diagnosis_using_ANNs.ipynbStudent
- 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.
Flask-Based Healthcare Application
•https://github.com/romeofx/BAN6420-Final-Project-Flask-Healthcare-ApplicationStudent
- 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.
Customer Segmentation and Prediction Model
•https://github.com/romeofx/Customer-Segmentation-and-Churn-Prediction-using-Machine-Learning/blob/main/BAN6440_Final_Project.ipynbStudent
- 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.
Idiomas
Inglés
Profesional
Habilidades
MySql
SQL
Machine Learning
Python
HTML
R
Tableau
MongoDB
matplotlib
Microsoft SQL Server
Communication
Power BI