Binay Dahal
PhD in Computer Science & Senior Data Scientist.
I specialize in bridging the gap between advanced research and production-grade industrial applications. My expertise lies in architecting robust data pipelines, orchestrating multi-agent systems, and deploying computer vision models to solve complex physical and operational challenges.
Experience
Senior Data Scientist
Leading the development of predictive operational forecasting and environmental monitoring systems. Translating highly technical modeling processes into accessible tools for semi-technical stakeholders.
Data Scientist / Researcher
Designed and implemented machine learning models for large-scale data analysis, focusing on resource optimization and multi-variable root cause extraction.
Projects
Biological Taxonomy & Microscopy Pipeline
Built a comprehensive image analysis pipeline utilizing state-of-the-art vision models to identify filament types, floc morphology, and specific microorganism presence in real-time wastewater samples.
Long-term Workforce Forecasting Model
Developed a Monte Carlo simulation framework to project hiring needs and dynamic retirement probability metrics across a 20-year horizon based on variable historical data.
Predictive Nutrient Spikes System
Engineered an early-warning system analyzing effluent variables to predict and prevent phosphorus spikes, operating on a scalable Medallion Architecture.
Research & Publications
Evolutionary AI: Genotype Mutation Strategies
Exploring neuroevolution methodologies to determine the efficacy of evolving convolutional neural networks from dense artificial neural networks utilizing genetic algorithms.
[Your PhD Dissertation Title]
A brief abstract or summary of the core thesis problem, your proposed novel methodology, and the resulting impact or performance gains.
Targeting Premier Applied AI Venues
Currently preparing research bridging computer vision and environmental monitoring for submission to AAAI, KDD, and NeurIPS.