
Sandra Lymo User
@sandralymouser
Freelance Data Analyst applying Python and machine learning to client datasets, producing insights, reports, and data visualisations.
What I'm looking for
As a Freelance Data Analyst, I deliver data analysis and visualisation solutions for clients. I clean and process raw datasets, then produce actionable insights and summary reports.
I also build simple web interfaces with HTML and CSS to present data findings.
Through Kaggle machine learning competitions, I’ve implemented end-to-end pipelines from data cleaning to model submission on tabular and structured datasets.
I’m studying BSc Industrial Mathematics at Jomo Kenyatta University of Agriculture & Technology (JKUAT), with coursework in mathematical modelling, statistics, and optimisation. I’ve also completed DataCamp training in data science, machine learning, and deep learning.
Experience
Work history, roles, and key accomplishments
Freelance Data Analyst
Self Employed
Delivering data analysis and visualisation solutions for clients as a freelance analyst. Cleaning and processing raw datasets, producing actionable insights and summary reports, and building simple web interfaces using HTML/CSS to present data findings.
Education
Degrees, certifications, and relevant coursework
Jomo Kenyatta University of Agriculture and Technology
Bachelor of Science, Industrial Mathematics
Activities and societies: Active participant in Google Development Student Club (GDG) and university mathematics and data science communities.
Pursuing a BSc in Industrial Mathematics with expected graduation in 2027. Coursework includes numerical techniques, optimization, probability and statistics, and mathematical modelling.
Everything Data Africa
Certificate of Achievement, Data Science
Earned a Certificate of Achievement in Data Science.
DataCamp
Career Track, Data Science
Completed the Data Science with Python career track, covering data manipulation, visualization, and machine learning.
DataCamp
Course, Machine Learning
Completed the Machine Learning Fundamentals course, covering core machine learning concepts and algorithms.
DataCamp
Course, Deep Learning
Completed the Deep Learning with Python course, focusing on neural networks and frameworks like PyTorch and TensorFlow.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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