Fahad Rauf
Turning data into stories through powerful and elegant dashboards.
THE JOURNEY
With a Bachelor's degree in Computer Science, my journey in tech quickly led me to a passion for creating data visualizations. I thrive on transforming raw data into sightful visuals using tableau. My visualizations are inspired by the beauty and colors of the world and things around me. My affinity for aesthetics is mirrored in my projects embodying my love for elegant, eye-catching design. As I merge the worlds of data and frontend development, I am excited to continue refining and expanding my skills.
MY Projects
.png)
Student Habits vs Performance
Designed an interactive Tableau dashboard analyzing how various lifestyle and academic habits affect student exam performance. Explored correlations between study time, parental education, gender, job status, internet quality, and exam scores. Uncovered surprising insights: students whose parents held a bachelor’s degree outperformed those with parents holding a master’s. Observed that males without part-time jobs performed better, while females with part-time jobs outperformed those without.
.png)
IMDB Top 10 Movies Dashboard
Designed an interactive Tableau dashboard using the IMDb Top 1000 dataset to explore trends in movies, genres, and directors. Visualized key metrics including top-grossing films, most frequent directors, and dominant genres over the decades. Discovered that Drama emerged as the most common genre and Alfred Hitchcock directed the most films.
.png)
Covid-19 Global Impact Dashboard
Developed a Tableau dashboard to visualize the global impact of the COVID-19 pandemic using time-series case data. Analyzed trends in confirmed cases, death rates, and country-wise impact to uncover key patterns. Found that the United States had the highest number of deaths, followed by Brazil and India. Identified a global death rate of 1.75%, with over 5.5 million total deaths and more than 313 million confirmed cases.
.png)
Customer Churn Rate Analysis Dashboard
Built a Tableau dashboard to analyze customer churn patterns for a telecommunications company. Used demographic segmentation to identify high-risk customer groups and trends in churn behavior. Highlighted a total churn rate of 26.86% across 1,796 customers, with California (CA) reporting the highest churn by state. Discovered that older customers were more likely to churn, with age bin 70 showing a 43.85% churn rate and age bin 80 showing 52%.