Welcome to FRIDAY
Where data meets innovation! At FRIDAY, we believe in the power of data to transform businesses. Born on a Friday 20th ,December 2024, our mission is driven by the idea that every business can achieve greatness with the right insights and strategy.
Who We Are
At FRIDAY, we combine a passion for data with a commitment to helping businesses thrive. Whether you’re looking to unlock the potential of your data or need strategic insights to drive growth, we’re here to help you succeed.
Kariuki Reuben, the founder of FRIDAY, has over 3 years of experience in data-driven industries and a strong background in Actuarial Science. Kariuki’s mission is to help organizations harness the power of data to drive impactful decisions and achieve measurable results.
My Services
At FRIDAY, we specialize in data science and business analytics, helping businesses make informed decisions through the power of data.
Services We Offer:
I offer tailored data science and analytics services to meet your business needs.
Data Science Training
Offer training sessions and workshops to empower individuals and teams with data science skills.
Excel , Tableau, SQL, R/Python , Power BI, Quarto websites.
Market Research and Insights
- Conduct comprehensive market analysis to uncover trends, opportunities, and competitive advantages.
Data Analysis
- Transform raw data into actionable insights.
Machine Learning Models
- Build predictive models for classification, regression, and clustering tasks.
Dashboard Development
- Design interactive dashboards for monitoring key performance indicators.
Business Intelligence Solutions
- Develop and implement BI tools like Tableau and Power BI for data-driven decision-making.
Projects
1. Credit Risk Prediction App
Tools: R, Python, Shiny, Random Forest
Description:
Developed a Shiny app to predict credit risk based on a Random Forest model.
The app uses user inputs like age, income, loan amount, and credit score to predict the likelihood of loan defaults.
Deployed on shinyapps.io for easy accessibility, improving lending decisions and reducing loan defaults by 20%.
2. Customer Location Validation Application
Tools: R, Shiny
Description:
Built a fraud detection app to validate if multiple customers are originating from the same location.
Helped businesses mitigate risks and identify potential fraudulent activities.
3. Amazon iPhone Price Analytics
Tools: R, rvest, Shiny
Description:
Scraped real-time iPhone price data from Amazon using
rvest.Converted prices into Kenyan Shillings and visualized the most expensive iPhones using Shiny.
Created an interactive interface for user engagement.
4. HR Analytics Dashboard
Tools: Power BI, Tableau, SQL
Description:
Designed an HR dashboard to track metrics like employee performance, turnover rates, and recruitment efficiency.
Provided actionable insights for HR teams to enhance retention and recruitment strategies.
Get in Touch
We’d love to hear from you! Reach out through any of the options below:
Phone
+254713167064
Address
We work remotely in Nairobi, Kenya.
Support Us
MPESA: +254704033459
Let’s Work Together
At FRIDAY, we are passionate about using data to make a difference. Whether you need cutting-edge machine learning models, interactive dashboards, or actionable insights, we’re here to bring your vision to life.