Adam Moses

Data Scientist & ML Engineer

Transforming complex data into strategic insights through advanced machine learning, computer vision, and intelligent automation systems. Precision-driven approach to extracting actionable intelligence from chaos.

1+ Years Experience
15+ Projects Completed
5+ Technologies Mastered
terminal
adam@datasci:~$ whoami
Data Scientist
ML Engineer
Problem Solver
adam@datasci:~$ cat specialties.txt
• PyTorch & TensorFlow
• Computer Vision
• Process Automation
• Web Scraping
adam@datasci:~$ █

About

I am a disciplined data scientist with a strategic approach to machine learning and artificial intelligence. My expertise spans across computer vision, natural language processing, and intelligent automation systems.

With a foundation built on rigorous analytical thinking and systematic problem-solving, I specialize in developing robust ML models that deliver measurable business impact. My work combines theoretical depth with practical implementation, ensuring solutions that are both scientifically sound and commercially viable.

Currently focused on advancing computer vision applications and building scalable automation frameworks that transform manual processes into intelligent, self-optimizing systems.

Technical Arsenal

Machine Learning

PyTorch TensorFlow Scikit-learn OpenCV Computer Vision

Programming

Python JavaScript SQL Git Linux

Data & Analytics

Pandas NumPy Matplotlib Seaborn Jupyter

Automation

Selenium BeautifulSoup Scrapy API Integration

Projects

Image Classifier (PyTorch)

GitHub →

Advanced deep learning model for image classification using PyTorch. Implements convolutional neural networks with transfer learning capabilities, achieving high accuracy on complex visual recognition tasks. Features optimized training pipeline and comprehensive evaluation metrics.

PyTorch Computer Vision CNN Transfer Learning Python

SpiderCore

GitHub →

Sophisticated web scraping framework designed for large-scale data extraction. Features intelligent rate limiting, proxy rotation, and robust error handling. Capable of navigating complex web architectures while maintaining stealth and efficiency.

Python Web Scraping Selenium BeautifulSoup Data Extraction

Auto Email System

GitHub →

Intelligent email automation system with advanced scheduling and personalization capabilities. Integrates machine learning for optimal send-time prediction and response analysis. Features secure authentication and comprehensive logging for enterprise deployment.

Python Automation Email APIs Scheduling ML Integration

Contact

Ready to discuss data science solutions or potential collaborations? Let's connect and explore how we can transform your data challenges into strategic advantages.

Twitter
@_Dev_Adam
Email
adammoses322@gmail.com
GitHub
@Cyborgkong