Krishna Patel

Dedicated Computer Science and Data Science student with a strong foundation in problem-solving, technical troubleshooting, and data analysis. Experienced in developing predictive models, analyzing large datasets, and providing technical support.

Climate Disaster Prediction Using Regression Models

• Project Description: Developed and evaluated multiple linear and logistic regression models to predict climate-related disasters using the NOAAGISSWD dataset.
• Key Achievements: Analyzed correlations between climate variables and disaster counts (Wildfire, Drought, Severe Storm, All other Disasters).
  Created predictive models incorporating polynomial terms up to the second order.
  Assessed model accuracy using AIC and PRESS values, selecting the most statistically significant models.
  Successfully identified the best-fit models for disaster predictions, achieving notable PRESS and AIC scores.

Crop Yield Optimization Using ANOVA and Tukey's HSD Test

• Project Description: Analyzed crop yield data to identify the most effective method for maximizing yield using Tukey's Honestly Significant Difference (HSD) test and ANOVA.
• Key Achievements:Performed multiway ANOVA to determine the significance of block, fertilizer, and density methods on crop yield.
  Evaluated interaction effects between the methods to identify combined impacts on yield.
  Conducted Tukey's HSD test to compare mean yields and pinpoint statistically significant differences between method pairs.
  Provided insights into the most effective crop yield strategies based on statistical analysis.
  

• English
• Gujarati
• Hindi