Yugendra Krishna Vamsi Appikatla
I'm a Software Engineer.
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About

Driven by a commitment to lifelong learning, I am a versatile developer with a strong focus on Python, Java, and advanced web technologies. The blend of creativity, logic, and technology keeps me excited about discovering new innovations in the field. Outside of coding, I find pleasure in exploring different facets of life through reading and broadening my knowledge.

HTML
JAVA
GIT
TABLEAU
JAVASCRIPT
CSS
AZURE
PYTHON
DOCKER
AWS
TENSORFLOW
FLUTTER
R PROGRAM

Projects

Classification of Malignant Pulmonary Diseases on Chest X-ray using CNN

Conducted comprehensive research on pulmonary malignancy classification using advanced feature extraction techniques and developed a Convolutional Neural Network (CNN) model achieving 93% accuracy in disease detection.

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Concrete Strength Prediction using Random Forest

Developed and implemented predictive models using Random Forest and Decision Trees algorithms to estimate concrete strength, achieving accurate predictions through thorough data preprocessing and optimization.

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Extensive Analysis of COVID-19 Distribution

Utilized K-Means clustering to categorize countries based on COVID-19 case counts, enabling intuitive visualization and strategic interpretation of global pandemic trends with tools like Tableau.

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Speech Recognition

Implemented a robust speech recognition system using the SpeechRecognition module, successfully transcribing audio files into text and demonstrating practical experience in deploying machine learning models.

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ML Regression and Classification Projects

Led data mining, preprocessing, and visualization initiatives, leveraging Python and R to uncover actionable insights in regression and classification tasks, showcasing flexibility and strong analytical decision-making in model selection.

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