About me
A data scientist based in Nairobi, with an extensive experience of over 5 years in Data Modeling, Data Analysis, and Programming.
I want to help others to make the right decisions, data-based decisions.
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 that nobody else sees is the challenge to me.
What I do
DATA ANALYTICS
I am specialized in analyzing big data. The results, insights, and recommendatons are presented through BI reports or tools (example).
MACHINE LEARNING AND AI
I use machine learning and deep learning algorithms to develop predictive models. All models are designed to be deployable. In practice, the models can deployed through web applications, edge devices, via APIs or mobile applications (example) .
BIG DATA AND CLOUD COMPUTING
Obtain better value of your big data with data mining models, for example predicting customer behavior or targeted marketing through segmentation using tools including Apache Spark, Hadoop, HIVE, and SQL on big cloud platforms such as Azure, AWS, and Google Cloud.
Skills
My 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, and both machine learning and data-based analytics systems.2022-2023
Machine Learning Nuggets
Machine Learning Nuggets
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
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 including HIVE, Spark, and Hadoop to process large datasets and generate insights Conducted market analysis and customer segmentation using customer data for 3 marketing clients
