Hi, I'm Daniel Akhabue
Transforming complex data into intelligent solutions with 4 years of experience in machine learning, deep learning, and AI system architecture. Passionate about building scalable AI systems that drive real-world impact.
Impact Metrics
Core Expertise
About Me
Passionate about transforming complex data into intelligent solutions that drive real-world impact and business value.
My Story
With over 4 years of experience in data science and AI engineering, I've had the privilege of working on cutting-edge projects that span from real-time fraud detection systems to computer vision applications in manufacturing.
My journey began with a Bachelor's in Computer Engineering from University of Benin, where I specialized in artificial intelligence and deep learning. Since then, I've been dedicated to bridging the gap between theoretical AI research and practical business applications.
I believe in the power of data-driven decision making and am passionate about building AI systems that are not only technically sound but also ethical, scalable, and impactful. When I'm not coding, you'll find me contributing to open-source projects or mentoring the next generation of data scientists.
Certifications
Core Values
Innovation
Constantly exploring new technologies and methodologies
Collaboration
Believing in the power of diverse teams and knowledge sharing
Impact
Focusing on solutions that create measurable business value
Machine Learning
Deep expertise in supervised, unsupervised, and reinforcement learning algorithms
AI Engineering
End-to-end AI system design, deployment, and optimization at scale
Data Architecture
Building robust data pipelines and infrastructure for ML workflows
MLOps
Streamlining ML lifecycle with automated deployment and monitoring
Portfolio Highlights
Interactive insights into my professional journey, expertise, and achievements in data science and AI engineering
Advanced Skills Dashboard
Interactive visualizations showcasing technical expertise across programming languages, frameworks, tools, and soft skills developed over 4 years in data science and AI engineering.
Core Programming Languages
Frameworks & Libraries
TensorFlow
Deep Learning Framework
PyTorch
Neural Networks
Scikit-learn
Machine Learning
Pandas
Data Analysis
NumPy
Numerical Computing
Keras
High-level Neural Networks
Tools & Platforms
Leadership & Soft Skills
Featured Projects
A showcase of impactful AI and data science projects that demonstrate real-world problem-solving and technical excellence.
Real-time Fraud Detection System
ML-powered fraud detection with 99.2% accuracy and sub-100ms response time
Computer Vision Quality Control
Automated defect detection system reducing manual inspection by 85%
NLP Sentiment Analysis Platform
Multi-language sentiment analysis processing 100K+ reviews daily
Predictive Maintenance AI
IoT-integrated system predicting equipment failures 30 days in advance
Recommendation Engine
Collaborative filtering system increasing user engagement by 45%
MLOps Pipeline Platform
End-to-end ML pipeline with automated training, testing, and deployment
Professional Journey
A timeline of my career progression, key achievements, and the technologies that have shaped my expertise in data science and AI engineering.
Senior Data Scientist & AI Engineer
TechCorp AI Solutions
Leading AI initiatives and managing a team of 5 data scientists. Architecting scalable ML systems processing billions of data points.
Key Achievements:
- ▸Built ML pipeline reducing costs by 40%
- ▸Increased model accuracy by 23% through advanced ensemble techniques
- ▸Led team of 5 engineers on production deployments
- ▸Deployed 12 ML models to production with 99.9% uptime
Data Scientist
DataDriven Analytics
Developed predictive models for customer behavior analysis and recommendation systems serving 2M+ users.
Key Achievements:
- ▸Built recommendation engine increasing user engagement by 45%
- ▸Implemented real-time fraud detection saving $2M annually
- ▸Optimized data pipelines reducing processing time by 60%
- ▸Published 3 research papers on ML optimization
Machine Learning Engineer
StartupAI Inc.
Full-stack ML engineer responsible for model development, deployment, and monitoring in a fast-paced startup environment.
Key Achievements:
- ▸Deployed first production ML model achieving 94% accuracy
- ▸Built automated ML pipeline reducing deployment time by 80%
- ▸Established MLOps practices and monitoring systems
- ▸Collaborated with product team on AI feature development
M.S. Computer Science (AI Specialization)
Stanford University
Specialized in artificial intelligence with focus on deep learning and computer vision. Thesis on novel CNN architectures.
Key Achievements:
- ▸GPA: 3.9/4.0, Summa Cum Laude
- ▸Research Assistant in Computer Vision Lab
- ▸Published 2 papers in top-tier conferences
- ▸Winner of AI Innovation Challenge 2019
Interactive Resume
Explore my professional journey, education, certifications, and research contributions
Leading advanced machine learning initiatives and cross-functional data science projects.
Developed predictive models and data-driven solutions for enterprise clients.
Key Achievements
Quantifiable impact and measurable results that demonstrate expertise in data science, machine learning, and AI engineering across diverse projects and teams.
Model Accuracy Improved
Enhanced ML model performance across multiple projects
Processing Time Reduced
Optimized data pipelines and model inference speed
ML Models Deployed
Production-ready models serving real users
Data Points Processed
Massive datasets analyzed and transformed
Cross-functional Projects Led
Successfully managed diverse technical teams
Professional Recognition
Top performer in African data science competitions
Expert tier in machine learning competitions
5 papers in peer-reviewed journals
8 international AI conferences
3 AI-related patents filed
10K+ GitHub stars across projects
$5M+ in operational savings
Let's Build Something Amazing
Ready to transform your data into actionable insights? Let's discuss your next AI project.
Send a Message
Get in Touch
danakhabue@gmail.com
Phone
+1 (555) 123-4567
Location
San Francisco, CA
Availability Status
Open for new projects and collaborations. Typical response time: 24 hours.
Connect & Follow
Schedule a Call
Book a 30-minute consultation to discuss your project requirements.