Hi there! I'm Solomon Amaning Odum, a passionate Data Scientist, MLOps Specialist, and AI Innovator with a deep focus on leveraging machine learning and AI to create impactful solutions, particularly in healthcare and real-world problem-solving.

I specialize in developing data-driven solutions with expertise in:

• Natural Language Processing (NLP): Automating text summarization, medical transcription, and more.
• Computer Vision: Implementing image classification, object detection, and healthcare diagnostics.
• Predictive Analytics: Building models for risk assessment, time series forecasting, and churn prediction.
• MLOps: End-to-end deployment of scalable ML pipelines in cloud environments like AWS, Azure, and GCP.

I have worked on diverse projects, from healthcare AI solutions to telecom customer retention models, and am driven by a mission to make AI accessible and impactful.

• NLP (Text Summarization, Language Models, Question-Answering Systems)
• Computer Vision (Object Detection, Classification)
• Predictive Modeling and Analytics
• Time Series Forecasting

• Programming: Python, SQL, PySpark
• Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
• Visualization: Tableau, Matplotlib, Plotly, Seaborn
• Databases: MongoDB, PostgreSQL
• Cloud & MLOps: AWS, Azure, Google Cloud Platform (GCP), Docker, GitHub Actions

• Big Data Processing with Spark
• Data Cleaning and Feature Engineering
• ETL Pipelines for Data Ingestion and Processing

1. Breast Cancer Detection

   • Built a lightweight model using MobileNetV2 for image-based cancer detection.
   • Delivered robust accuracy and efficiency suitable for deployment on resource-limited devices.
   • Tech Stack: Python, TensorFlow, Keras
   • View Repository

2. Anemia Prediction from Conjunctiva Images

   • Developed a deep learning model leveraging YOLO and CNNs to detect anemia.
   • Integrated into a smartphone application for real-time diagnosis.
   • Tech Stack: PyTorch, OpenCV, FastAPI
   • View Repository

3. Sepsis Prediction

   • Designed a predictive model to forecast sepsis onset 6 hours before occurrence using Random Forest.
   • Achieved high F1-scores validated by domain experts.
   • Tech Stack: Scikit-learn, Pandas
   • View Repository

4. Telecom Churn Prediction

   • Built classification models to predict recharge delays and customer churn for telecom clients.
   • Tech Stack: Python, Tableau, Scikit-learn
   • View Repository

5. Forex Exchange Forecasting

   • Long-term FX prediction using LSTM for financial analysis.
   • Tech Stack: TensorFlow, Pandas, NumPy
   • View Repository

• Machine Learning with Python — IBM
• Blockchain Technology and Risk Analytics — Nanyang Technological University, Singapore
• Basic Life Support (BLS) — American Heart Association

1. Develop AI tools for underserved healthcare systems globally.
2. Dive deeper into MLOps pipelines and automation for large-scale deployments.
3. Mentor and collaborate with fellow data and AI enthusiasts.

• 📧 Email: solomonodum@gmail.com
• 🐦 GitHub: github.com/SolomonAmaning
• 💼 LinkedIn: www.linkedin.com/in/solomon-odum-datascientist
• 🌍 Location: Navi Mumbai, Maharashtra-India | Accra, Ghana - currently in India

I’m always intrigued by the intersection of AI and healthcare and constantly exploring how to make intelligent systems affordable, scalable, and impactful!

✨ Let’s build something amazing together! ✨