
GDP Growth Prediction Model
Developed a machine learning model to predict annual GDP growth using economic indicators.
Machine learning meets real-world outcomes. From predictive insights to automated solutions.
Hi, I'm Daniel Wanjala, a passionate Data Scientist and ML Engineer based near Nairobi, Kenya. My journey spans IT management and deep dives into data, driven by a belief in technology's power to solve real-world problems.
Whether optimizing hospital operations with predictive analytics or building forecasting models, I focus on creating data systems that deliver tangible outcomes. I thrive on transforming complex data into actionable insights and robust applications. Currently pursuing an MSc in Data Science to further sharpen my expertise.
Developed a machine learning model to predict annual GDP growth using economic indicators.
Collaboratively developed an advanced plant disease detection system using image processing.
Developed a forecasting tool to analyze and predict Kenya's GDP trends.
Intelligent online tool using neural networks to predict investment opportunities in Kenya.
Analyzed Netflix's stock performance to identify profit trends and patterns.
Exploring the biases and societal impacts of automated decision systems.
"Bias in, bias out."
Challenges and solutions for deploying ML models effectively at scale.
"MLOps is key."
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Upload an image to detect common plant diseases.
Adjust parameters to see GDP forecast variations.
Note: Live demos may link to external platforms like Streamlit Cloud or JS playgrounds. (Actual links TBD)