--4
Years of Success
10+
Projects Completed
Hello I'm Joel Mande Statistician | Actuarial Analyst | Data Science & AI Trainer
Statistics, Mathematics, Programming, Actuarial Science, Data Science, Data & Business Analytics, Data and Cloud Engineering, Big Data, Web Development, Machine Learning, Artificial Intelligence, Finance, Economics, Insurance, Pensions, and Investment.
About Me
Statistics and Actuarial science graduate with expertise in statistical modeling, predictive analytics, and financial risk management, particularly in real-world financial applications.
Expert in developing data-driven solutions that provide actionable insights, enhance strategic decision-making, and mitigate financial risks, leading to improved business performance and risk management strategies
Member of the Actuarial Society, contributing to the development of actuarial practices and advancing professional standards within the field.
View ProjectsProjects
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Credit Risk Modeling
A statistical model using logistic regression, decision trees, and random forests to assess default probability.
View on GitHub -
Customer Segmentation
A clustering model using K-means, hierarchical clustering, and PCA to segment customers based on behavioral patterns.
View on GitHub -
Stock Price Prediction
A time series model using ARIMA, LSTM, and XGBoost to forecast stock prices.
View on GitHub -
Claims Fraud Detection
A machine learning model using logistic regression, random forests, and XGBoost to identify fraudulent insurance claims.
View on GitHub
Technical Skills
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R
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Python
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JavaScript
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HTML
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CSS
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Power Bi
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SQL
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Excel
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Matlab
Contact Me
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Address
10100, Nyeri, Kenya -
Email
joel.mande1936@gmail.com -
Phone
+254796895403 -
LinkedIn
LinkedIn Profile -
GitHub
GitHub Profile -
WhatsApp
Chat on WhatsApp -
X (Twitter)
Twitter Profile