Hi there , I'm Fridah!

I am a data scientist with expertise in data analysis, visualization, and machine learning. My goal is to utilize these skills to drive impactful business outcomes in a collaborative and innovative environment. I thrive on continuous learning and development, and have experience developing predictive models using Scikit-Learn and Keras and working with SQL, Tableau, and Python for data preparation, analysis and visualization.

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fridahkimathi's Projects

bank-customer-churn-prediction

This project aims to develop an accurate customer churn prediction system for the banking industry to proactively retain customers and mitigate revenue loss.

book-recommendation-system

The project used Python to create a personalized book recommendation system that analyzed users' past ratings on books to identify their preferences and patterns and suggested books that the user is likely to enjoy but has not read yet.

house-sales-in-king-county-washington-usa

The project used Python to perform exploratory and predictive analysis on 21,597 homes in King County in the years 2014 and 2015 and created a linear regression model that predicted the house selling prices for a real estate agency

leap-year-project

It contains a project that can be able to distinguish leap years from non-leap years

microsoft-movie-analysis

The project used Python to perform exploratory analysis of movie revenue data from IMDB and BOM and derived recommendations on the movie genres Microsoft’s new movie studio should produce.

pig-dice

This is a pig dice game which has two players.Each player repeatedly rolls the dice until they hit the hold button.

quiz-board

It contains a quiz-board with questions on javaScript.

skin-disease-image-classifier-for-accurate-and-accessible-diagnosis

This project aimed to develop a skin disease image classifier that can identify skin diseases in images uploaded by users. The classifier was integrated into a website where users can upload photos of their skin diseases and receive an accurate diagnosis

tamos-hotel-and-restaurant

This project is a dummy hotel and restaurant website that provides users with a modern and user-friendly experience to learn about the hotel and restaurant offerings, make reservations, and explore local attractions. It is built using HTML, CSS, and JavaScript, and is fully responsive across devices.

triangle-tracker

It contains a triangle tracker that can distinguish between different triangles

water-pump-functionality-prediction-in-tanzania

The project uses a supervised machine learning model to predict with high accuracy whether a pump is functional or not. This has the potential to greatly improve access to clean water in Tanzania and other developing countries.

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