Ridwan Yusuf

• Participated in the Analytics Extra Mentorship Program, contributing to the Atlanta Crime Data Analysis Report.
• Collaborated with the team to source and clean the dataset, ensuring data quality and integrity.
• Designed and presented an interactive Power BI dashboard that visualized crime trends over five years, forecasted future crime rates, and delivered actionable insights for strategic decision-making.
• Published the report on Power BI Service, enabling real-time access and interactive analysis for team members and stakeholders.

I create educational content for high school and college students in subjects like Mathematics & Computers and Technology

In Stutern hackathon, I acted as the team's data scientist that built a Precision Farming for Best Product Results with Data project,

• Built a machine learning model that predicts the optimal time for planting and harvesting crops. This model aimed to improve farming efficiency and yield by leveraging data insights.
• Hosted the model locally using JupyterDash, enabling interactive visualizations and easy access for the team to test and refine the model’s predictions.

As a data science intern at Hamoye, I worked on two key projects:
Project 1: Hospital Inpatient Discharges – Predicting Length of Stay

• Acted as the query analyst for the team, responsible for data extraction and cleaning.
• Treated null values, removed duplicates, and dropped redundant columns to ensure data quality.

• Conducted Exploratory Data Analysis (EDA) to uncover patterns within the dataset and identify key factors influencing the length of stay.

  Project 2: Customer Personality Analysis

• Created detailed project documentation and presentation slides for team use.
• Built a K-Means clustering algorithm to determine the optimal number of clusters for customer segmentation.
• Performed EDA to explore the dataset, identify patterns, and inform the development of the clustering model.