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Abdoul Aziz Moussa

Data Scientist & Cloud Architect crafting intelligent solutions at the intersection of AI and scalable infrastructure

Machine Learning Cloud Architecture Data Engineering Edge Computing

Data Science Projects

Transforming complex data into actionable insights through machine learning and statistical analysis

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NeuroMetrics

AI-driven platform predicting UPDRS 3 scores for Parkinson's disease using advanced machine learning models

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Film Feedback AI

Sentiment analysis system classifying movie reviews with 94% accuracy using NLP and deep learning

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PneumoNet

Deep learning model for pneumonia detection from chest X-rays with 96% accuracy using CNN architecture

Cloud Architecture

Building scalable, resilient cloud infrastructure for modern applications

Serverless API Deployment

Deploying NeuroMetrics AI platform with serverless architecture for optimal scalability and cost efficiency

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Multi-Service Application

Microservices orchestration with Docker and Kubernetes for high-availability deployments

Coming Soon Planning
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ML Pipeline Automation

End-to-end machine learning pipelines with automated training, deployment, and monitoring

In Development Active

Interactive Dashboards

Data visualization solutions that transform complex information into actionable insights

HR Monitoring Dashboard

Comprehensive workforce analytics with employee insights and performance metrics

View Demo Beta

Sales Performance

Real-time sales analytics with interactive charts and performance tracking

Coming Soon Planning

Website Analytics

User behavior tracking and traffic analysis with conversion optimization

Coming Soon Planning

Financial Portfolio

Investment performance tracking with asset allocation and risk analysis

Coming Soon Planning

Customer Churn Analysis

Predictive analytics for customer retention and churn prevention

Coming Soon Planning

Marketing Campaigns

ROI tracking and campaign performance optimization across channels

Coming Soon Planning

Edge Computing

Bringing computation closer to data sources for real-time processing and reduced latency

Edge computing revolutionizes data processing by moving computation closer to data sources, enabling faster processing, reduced latency, and improved bandwidth efficiency. This hybrid architecture combines the strengths of edge devices for immediate processing with cloud scalability for complex tasks.

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Image Analysis via WebAssembly

Lightweight MobileNet model for real-time computer vision executed locally in the browser

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Data Processing via Web Workers

Efficient CSV file analysis directly in the browser using parallel processing

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Real-time Video Analytics

Edge-based video stream processing for security and surveillance applications

In Development Research
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Industrial IoT Monitoring

Sensor data analysis at the edge for predictive maintenance and anomaly detection

Coming Soon Planning

Economic Intelligence & Strategies

In-depth studies and strategic analyses on economic development, agriculture, and historical insights from West Africa

Agricultural Resilience

Strategies for sustainable agriculture and post-harvest loss reduction in Niger

Explore Studies

Historical Insights

Analysis of historical figures and their impact on regional development

View History

Development Strategies

Private sector engagement and community resilience frameworks

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