Keerthan Devineni

Business Analyst and Quantitative expert with comprehensive approach to analytical projects, business reporting and process improvements. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Flight Delay Analysis & Prediction using Linear Regression and Kmeans Clustering

• Evaluated Flight Data from Bureau of Transportation Statistics for delay prediction by performing exploratory data analysis in Tableau
• Predicted flight arrival and departure delays at the O'Hare Airport with 92.3% accuracy to enable the traveler to make informed decisions

Heart Attack Detection and Real Time Patient Monitoring using Machine Learning and IOT

• Created and assessed charts in Jupyter Notebook to perform preliminary analysis & visualize data from a Patient Dataset that helped in predicting a heart attack with 87.66% accuracy
• Implemented Naive Bayes algorithm on the clustered data to give the probability of having a heart stroke.
• Developed a cloud based patient monitoring and alert system enabling doctors all day access to patients records.

Study and Prediction of Fuel Prices using Data Visualization and Regression Modelling

• Supervised model development, testing & validation on fuel price changes in USA & Canada over the last 10 years

Artistic Image Production Using CNN(VGG19)

• Conceptualized and developed an algorithm that changes a contextual image into a given style using gram matrix and CNN(Google's VGG19)

• Mathematics for Machine Learning from Imperial College London
• Applied Social Network Analysis in Python from University of Michigan
• Python Data Visualization from Rice University
• Organizational Behavior from Macquarie University