Kamanda Wycliffe
Data Scientist and Programmer Based In Nairobi, Kenya
About Me
What can we do?
Hi, my name is Kamanda. I work remotely as a data scientist with a background in Statistics and Programming (BSc, Kenyatta University) and a Higher Diploma in Certified Ethical Hacking and Cyber Security.
In a world of endless possibilities, data quantifies everything — and I’m passionate about uncovering insights and making sense of complexity through data science. That’s what drives me every day.
As a freelance data scientist, I transform data into actionable insights that support better decision-making, improve outcomes, and reduce costs. I have hands-on experience with machine learning (supervised and unsupervised), and use advanced data visualization to communicate results clearly. My toolkit includes Python, R, SQL, Power BI, and Tableau.
My Services
Data
Analytics
I specialize in analyzing large datasets to uncover meaningful insights and trends. Findings are delivered through interactive BI tools and reports for clear, data-driven decision-making (example).
Machine
Learning and AI
I apply machine learning and deep learning algorithms to build predictive models for classification, regression, and clustering tasks. These models are designed for real-world deployment — via APIs, web apps, mobile apps, or edge devices — and integrate seamlessly into business processes (example).
Experimentation
I design and run experiments, A/B tests, simulations, and what-if analyses to test hypotheses and evaluate outcomes. These methods support evidence-based decisions and improve model performance in dynamic environments.
Big
Data
I help businesses set up and derive value from their big data assets — such as data lakes and warehouses — using data mining techniques. Common use cases include customer segmentation and behavior prediction, powered by tools like Apache Spark, Hadoop, Hive, and SQL on cloud platforms (Azure, AWS, Google Cloud).
Data
Security
Data security is essential in every data product. I embed ethical and cybersecurity best practices throughout the data science lifecycle. This includes threat modeling, securing ML pipelines, and even grey-hat techniques like social engineering simulations to identify vulnerabilities (e.g., prompt injection prevention).
Tech
Research & Blogging
Staying ahead requires ongoing learning. I research emerging technologies, train teams, and help businesses leverage new tools for innovation. I also share my findings in accessible formats through tech blogging (example).
My Skills
Certifications & Citations
- 🎓 Cisco Certified: PCAP
- 🎓 Institute of Software Technologies: Cyber Security
- 🔐 African Advanced Level Telecommunications Institute: AI Fundamentals with IBM SkillsBuild
- 📚 Scholarly Citations: Sujin Kim (2023)
Get In Touch