About
About me
A data scientist based in Nairobi, with an extensive experience of over 5 years in Data Modeling, Data Analysis, and Programming.
Award-winning Data Science Professional
Hi, my name is Kamanda and I work remotely as a freelance data scientist. I hold a Bachelor’s in Science (Statistics and Programming, Kenyatta University), a Diploma in Certified Ethical Hacking and Cyber Security, and a second Diploma in Data Science.
For as long as I remember, I have always enjoyed solving puzzles, numbers, and patterns. So that’s my view of big data sets: as one big puzzle I want to solve. Finding hidden patterns nobody else sees is the challenge to me.
I have been working as a data scientist for more than 5 years with experience in insurance, risk, education, publishing, finance and retail. I have worked for 4 companies and over 900 clients which gives me the ability to translate complex questions into understandable insights.
My Skills
Experience
2019 - Present
Nerdy
Data Scientist
Extensively used Python and R for machine learning, deep learning, and data mining projects for 4 years
Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets
Built and deployed data pipelines for real-time data processing using Apache Kafka and AWS Kinesis
Developed and maintained data processing scripts using Python, R and SQL
Led and oversaw the design, development, and implementation of data science based projects including a live recommender system, a data analytics program, computer vision for the classification plants and detection of activities for a security client, as well as both machine learning and data-based analytics systems
2022-2023
Technical Data Science Author
I was a part of an amazing editorial team and worked together to develop technical digital content on data science applications randing from the anllication of deep learning to developing data-based web applications using frameworks including HugginFace, Gradio and Streamlit.
Wrote over 50,000 words-worth of technical content relating to the application of Python programming
2017-2019
ABSAS Solutions
Data Analyst
I was responsible for all the in-house and client-based data analysis projects. I take pride in having helped the best of clients and getting maximum ratings for the company with return clients.
Applied statistical and algebraic techniques to interpret key points from gathered data
Used big data frameworks like HIVE, Spark, and Hadoop to process large datasets and generate insights
Conducted market analysis and customer segmentation using customer data for 37 marketing clients