Dacosta Y.
Sr. Data Scientist | Sr. Software Engineer
- Role
- Data Scientist at Pipesense
- Location
- Houston, TX, US
- LinkedIn followers
- 500 followers
About Dacosta Y.
Dacosta Yeboah is a highly accomplished professional with a diverse background in data science, software engineering, and research. He holds a Master\'s degree in Computer Science from Missouri State University, showcasing his strong academic foundation and expertise in the field.As a Senior Data Scientist & Software Engineer, Dacosta has demonstrated exceptional skills in developing advanced models and systems. He developed an agent-based model to simulate disease spread, taking into account various factors such as population density, mobility patterns, and environmental conditions. This model has been instrumental in informing public health policies and interventions. Additionally, he created a comprehensive drought risk indicator that combines meteorological, hydrological, and socioeconomic data sources, which has been adopted by several organizations for drought monitoring and early warning systems.Dacosta\'s contributions extend beyond data science, as he implemented a Geonode server that streamlines geospatial data storage, management, and sharing. His groundbreaking achievement is the integration of Large Language Models (LLMs) with geospatial data and analysis capabilities, enabling users to interact with the system using natural language queries and receive insights for public health decision-making.In his previous roles, Dacosta built and maintained RESTful APIs using Django and Flask, developed a scalable web scraping pipeline, and implemented a voice-controlled smart home automation system. His diverse skill set spans AWS services, geospatial analysis tools, machine learning frameworks, and programming languages like Python, Django, and JavaScript.Dacosta\'s research contributions have been widely recognized, with award-winning scientific papers published in reputable journals. His work on clustering algorithms for brain injury patients, data processing frameworks for machine learning, and deep learning models for traumatic brain injury severity prediction has garnered accolades, including the Best Paper Award at CIBCB2021.With his exceptional expertise, innovative mindset, and commitment to driving impactful solutions, Dacosta Yeboah is a valuable asset in the fields of data science, software engineering, and research.
Experience
Data Scientist
Oct 2024 — Present · Houston, TX, US
Education
Missouri State University
Master's degree
2019 — 2021
Kwame Nkrumah' University of Science and Technology, Kumasi
Electrical/Electronics Engineering
2014 — 2018
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