Venkata Sai Vardhan Kataru

With a strong commitment to the field of Data Science and a determined focus on creating meaningful outcomes, I've effectively addressed intricate challenges through the application of Python, advanced mathematical techniques, state-of-the-art analytical tools, and machine learning methodologies.

Diabetes Prediction & Diabetic Retinopathy Detection :-  I developed an application for diabetes management, which includes a gradient boosting model for diabetes prediction and a CNN-based tool for diabetic retinopathy detection, all integrated into a user-friendly Streamlit app.

Enhancing Handwritten Digit Recognition with Augmented Data & k-Nearest Neighbors:-Improved the accuracy of handwritten digit recognition by augmenting data and implementing the k-Nearest Neighbors algorithm.

Image Deblurring using SVD:- Successfully enhanced image clarity by implementing Singular Value Decomposition (SVD) for effective deblurring.

Predicting Titanic Survival with Decision Trees :- Achieved accurate predictions of Titanic passenger survival rates using decision tree algorithms.

Nutritional Cluster Analysis of Breakfast Cereals :-Conducted a detailed nutritional cluster analysis to categorize breakfast cereals based on their health attributes.

Statistical Analysis and Model Evaluation for Predicting Pain in the Neuralgia Dataset :- Effectively predicted pain levels in the neuralgia dataset through comprehensive statistical analysis and model evaluation.

I am passionate about exploring and experimenting with cutting-edge software applications. Keeping abreast of the latest technological advancements, I relish the opportunity to delve into new tools and platforms.