Software engineer from Ghana working where clean code meets meaningful data. I like problems that start out shapeless, a raw dataset or a vague product idea, and end up as something a person can actually open and use.
Day to day that means Python for the data and modelling side, React and React Native for the surfaces people touch, and enough backend to hold it all together.
class KwekuDzata:
role = "Software Engineer · Data Science"
location = "Ghana 🇬🇭"
stack = ["Python", "TypeScript", "React", "React Native", "Next.js"]
tools = ["pandas", "scikit-learn", "Streamlit", "Jupyter", "Figma"]
focus = "shipping data-driven products end to end"
status = "open to work · remote, hybrid or on-site"
def reach_me(self):
return "dzataemmanuel2@gmail.com"|
Cleaning and wrangling messy real-world data with pandas and NumPy, then building models with scikit-learn that answer an actual question instead of just scoring well. |
Full-stack builds with React, Next.js and React Native. Comfortable owning the whole path from Figma file to deployed app on a real device. |
Turning a notebook into something shippable. Streamlit dashboards, small APIs, and interfaces that put a model in front of the people who need it. |
Swap these three rows for your strongest repos. Pin the same ones on your profile so they line up.
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a full-stack analytics platform aggregating live GitHub and Firebase data through a FastAPI backend into a real-time dashboard.
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Scrape Agent(https://github.com/kwekudzata/ScrapeAgent)A full-stack AI-powered web scraping agent with a clean, developer-first aesthetic Enter a specific URL for targeted data extraction, or provide an open-ended goal and let the native Nanobot Agentic Orchestration take over
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One or two lines on the problem it solves and who it's for. Lead with the outcome, not the tech.
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Case studies, writeups and the work that didn't fit here. |
Roles where software engineering and data actually meet, rather than sitting in separate teams. Product engineering with a data flavour, ML engineering, analytics engineering, or full-stack work on something where the data is the point.
Open to remote, hybrid and on-site. Happy to talk about internships, contracts or full-time.


