AP Ndunge
As a specialized Data Consultant with over 4 years across industries, I empower businesses, solopreneurs, and SMEs to confidently navigate the cloud and implement secure AI and Data Architectures at scale. With a personalized and agile approach, I understand the unique challenges of businesses, especially those in emerging markets, offering tailored solutions to unlock the power of data and AI securely.
About Me
Key Features
Secure Cloud Migration
Seamless Transition
Migrate to the cloud securely and efficiently with minimal disruption to your operations.
Resilient Data Architecture
Robust Systems
Build resilient data architectures that ensure data integrity, availability, and scalability, supporting long-term business success and innovation.
AI-Driven Data Insights
Smart Analytics
Unlock actionable insights with cutting-edge AI, transforming raw data into strategic advantages for informed decision-making and growth.
Expertise
Data Strategy
Crafting data strategies aligned with your business goals, ensuring data-driven decision-making and competitive advantage. Unlock your business potential with data.
AI Implementation
Implementing AI solutions tailored to your specific needs, driving innovation, automation, and efficiency across your organization. Transform your business today.
Cloud Solutions
Providing comprehensive cloud solutions, from migration to management, enabling scalability, flexibility, and cost-effectiveness. Embrace the cloud with confidence.
Cloud Security Risk Assessment
Identifying and mitigating potential security risks in your data infrastructure, ensuring compliance and protecting your valuable assets. Secure your business data.
Appetiser
Recent Projects Showcase
Stock Market Analysis
The project involved extracting stock and revenue data for Tesla and GameStop using yfinance and web scraping, respectively. Visualizations were created using libraries like Matplotlib or Seaborn to analyze trends and patterns.
Credit Card Fraud (CCF) Detection Model
Developed and evaluated credit card fraud detection models using Decision Trees and SVMs with Scikit-Learn and Snap ML, addressing class imbalance and measuring performance with ROC-AUC and hinge loss. Snap ML significantly improved training speed while maintaining comparable accuracy to Scikit-Learn.
Multiple Machine Learning Model Applications
Developed machine learning models for churn prediction, cancer cell classification, customer segmentation, and fuel consumption prediction using Logistic Regression, SVM, K-means, and Linear Regression. Evaluated models with metrics like Confusion Matrix, Log Loss, and MSE, using real-world datasets across telecom, healthcare, and automotive domains.
Analyzing wildfire activities in Australia
Analyzed historical Australian wildfire data to uncover trends, seasonal patterns, and regional variations using Pandas, Seaborn, and Folium for visualization and mapping. Key findings included peaks in fire area between 2010–2013, uneven fire brightness across regions, and correlations between fire radiative power and confidence levels.
Let's Connect and Transform Your Data!
Reach out to explore how I can help you leverage data and AI for business success.
Data Strategy Consulting
AI Solutions Implementation
Cloud Migration Services
Data Security Assessments
Secure Data
& AI Solutions
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(+27) 66 258 1276
