This project seeks to gain insights into shootings in the United States from 1982 to the present day.
I built an interactive dashboard using Tableau to present the findings.
I used XGBoost to verify the authenticity of scanned bills and built an app using Streamlit to do the same.
Using Naive Bayes, I predict the probability of a patient having cardiovascular disease based on a few test results.
I use scipy and statsmodels to explain the gaussian distribution and demonstrate how to catch outliers in a normally distributed feature using z-scores.
Partitioning customers with help from the K-means unsupervised learning algorithm.
Using support vector machines and chemical composition, I take a shot at classifying wines as either legitimate or fake.
I am a data scientist with a BSc. in Mathematics and Computer Science. I am highly skilled in Microsoft Excel, Python and SQL. I clean and organize data, perform data analysis, create visualizations and build Tableau dashboards, perform statistical analysis and tests, build machine learning models and so much more.
