#AgTech Data Analytics, Machine Learning, and Controlled Environment Agriculture (CEA)
As a student of the Palette Skills Automation & Digital Agriculture Specialist Program, an intensive 130+ hour program, I am equiped with the skills to enhance automation and digital agriculture. This program has enabled me to specialize in areas such as precision agriculture, agriculture automation, and agri-food technology.
- Data Collection: Acquire data from multiple agricultural sources for comprehensive analysis.
- Data Analysis: Utilize statistical and machine learning models to identify patterns and trends in agricultural data.
- Interdisciplinary Collaboration: Work closely with cross-functional teams to gather the necessary data and insights.
- Recommendations: Provide actionable recommendations based on data-driven insights to organizational leaders.
- Data Modeling: Employ best practices in data modelling and analytics.
- Reporting: Develop and present clear and concise data analysis reports.
- Automation and Integration: Implement processes for automated data mining and integration.
- Compliance: Ensure adherence to consumer privacy laws and regulations in data collection and processing.
- ⚙️ Technical Skill Highlights
- Function Annotations: Leveraged Python's type hinting to improve code readability and maintainability.
- Custom Exceptions: Implemented custom exceptions to handle specific error cases gracefully.
- Pythonic Idioms: Utilized Pythonic idioms for efficient and readable code.
- ⚙️ Technical Skill Highlights
- Data Cleaning: Used Pandas for data munging and preparation.
- Statistical Analysis: Performed statistical analyses to interpret the data.
- Data Visualization: Leveraged Matplotlib and Seaborn for complex visualizations.
- Array Manipulation: Utilized NumPy for efficient array operations, such as slicing, masking, and reshaping.
- ‘Autonomously Improving Livestock Environments’
- Currently, producers are generalizing their data barely able to collect averages of their flocks. What if we could collect individual animal details? Customizing male chicken diets has showed a 5% increase in fertility. Imagine those results on your whole flock?
- Team Aeris is focused on improving livestock environments by collecting individual animal statistics, environmental sensor data and optimizing their environment for the healthiest outcome. Healthier Livestock means a Healthier Society!
- Data Analysis: Data Visualization, Dashboard, Statistical Modelling
- Programming: Python, SQL
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, GeoPandas
- Machine Learning: Supervised/Unsupervised, Scikit-learn, Clustering
- Controlled Environment Agriculture (CEA): Sensors, Robotics
- Unmanned Aerial Vehicles (UAVs): Drone technologies
- Livestock IoT IoB: for real-time precision livestock monitoring
🌱 Yes, I'm open to new opportunities and available for hire.