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Hi I am Kovenda Mbuale

Data Analytics | Data Science | Machine Learning | Deep Learning

I love building ETL pipelines by combining SQL queries into Python functions, dashboarding in Tableau with additional visualizations using ggplot2, seaborn, and matplotlib, data exploration with SQL and Pandas, stats data analytics in R with NumPy, and building machine learning solutions in Python and R (yes that's a thing too if you live in Rstudio's markdown files). Although I prefer staying in google collab notebooks because it's well optimized for git version control). I have AWS cloud experience building PostgreSQL relational databases. I also have experience with computer vision and NLP text sentiment analysis in excel and Python.

  • 🌍  I'm based: USA
  • 🖥️  See my portfolio at Visualizations@TableauPublic
  • ✉️  You can contact me at [email protected]
  • 🤝  I'm open to collaborating on Data Science, Data Analytics, Machine Learning and Deep Learning projects
  • ⚡  My passion for data storytelling is driven by the need to prioritize people so that they do not feel unconsidered.

Skills

Python r-programming PostgreSQL Tableau aws-rds sk-learn TensorFlow numpy pandas matplotliblogo2 excel HTML5 CSS3

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Kovenda Mbuale's Projects

a-b-testing-a-cotton-mill icon a-b-testing-a-cotton-mill

To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)

artist-youtube-dashboard icon artist-youtube-dashboard

I built an artist Tableau Dashboard, data pulled from youtube using Youtube API and Youtube Analytics API and stored in PostgreSQL database on AWS-RDS

cnn-breaking-captcha-security-codes icon cnn-breaking-captcha-security-codes

To test if CAPTCHA secure login security codes are secure from bot attacks I developed a CNN classifier model in Python using TensorFlow to predict the CAPTCHA codes. Predicted over 40,000 CAPTCHA codes with an accuracy above 98%.

cnn-pdf-noise-classification icon cnn-pdf-noise-classification

To decrease the time taken by a manual pre-OCR pdf labeling process. I built a CNN image classification model in Python using OpenCV, Tensorflow and Keras. The CNN model classifies PDFs according to the amount of noise, 1 - representing very high noise and 5 - representing clear pdfs.

driver-s-race-classifer-traffic-stops icon driver-s-race-classifer-traffic-stops

To see if drivers were being profiled. I built a Support Vector Machine (SVM) classifier and a randomForest classifier to predict a driver's race given the traffic's stop's details. Successful classification will indicate the existence of bais in the traffic stops' data.

kovenda icon kovenda

Config files for my GitHub profile.

r-shiny-app-to-predict-factors-affecting-survival-of-chd icon r-shiny-app-to-predict-factors-affecting-survival-of-chd

R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicated that a higher EF % is a major factor.

randomforest-breaking-captcha-security-codes icon randomforest-breaking-captcha-security-codes

To test if CAPTCHA secure login security codes are secure from bot attacks I developed a Random Forest classifier model in Python using Scikit-learn to predict the CAPTCHA codes. Predicted over 40,000 CAPTCHA codes with an accuracy above 97%.

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