Hello, I'm Dhanush Vasarla

Into the Heart of Machine Learning

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About Me

Hey there, I'm Dhanush Vasarla, and I'm really passionate about machine learning. I love diving into new challenges and expanding my skillset. When I'm not deep into programming and algorithms, you'll find me on the badminton court, that's where I unwind. If you've got an exciting ML project brewing in your mind, I'm all ears and excited to team up to create something truly remarkable. Let's connect and bring innovation to the table!

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Skills

Natural language Processing

Skilled in NLP, I utilize Hugging Face Transformers to excel in text analysis and language models.

Python

Python? Yep, I speak it fluently. From crunching data to crafting clean code, I've got it covered.

Machine learning

Crafting AI magic with machine learning – transforming data into insights, one algorithm at a time.

Apache Kafka

Proficient in utilizing Apache Kafka for effective live data streaming and processing, integrated with AWS MSK.

Docker

Expert in Docker, building and overseeing applications housed in containers for optimal deployment, scaling, and development.

Cloud

Proficient in AWS, deploying and managing cloud-based applications with scalable architecture, ensuring efficient performance, reliability, and cost optimization.

FastAPI

Expert in FastAPI, designing and managing high-performance APIs with asynchronous capabilities, seamless scalability, and efficient deployment using Docker.

Projects

End-to-End Resume Matching System

Developed a resume matching system using RAG and machine learning, leveraging NLP techniques to analyze unstructured resumes, rank candidates based on skills, experience, and education, and provide accurate job-fit insights for efficient hiring decisions.

Real-time Fraud detection

Developed a real-time fraud detection system using Kafka for data streaming, AWS MSK for scalable processing, Docker for containerization, and an integrated email system for alert notifications, ensuring efficient and secure deployment.

Sentimental Analysis

Developed a sentiment analysis system using natural language processing techniques, leveraging machine learning algorithms to accurately analyze and interpret customer feedback, providing valuable insights for decision-making.

Churn Prediction

Developed a churn prediction system using machine learning for customer retention analysis, leveraging advanced data processing techniques and robust predictive modeling to ensure accurate and actionable insights.

Placement Prediction

Developed a placement prediction system using machine learning algorithms to analyze student data, providing accurate predictions and actionable insights to enhance placement outcomes.