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Prarthana P Nayak

@prarthanapnayak

Message

I build machine learning applications that turn data into real-time predictive insights.

India

Message

What I'm looking for

I'm looking for an opportunity to build end-to-end AI and data products, apply machine learning and predictive modeling to real-world problems, and grow through hands-on work with scalable data and engineering tools.

I've built end-to-end machine learning applications for box office revenue prediction and automated silkworm cocoon defect classification. My work combines Python, Scikit-learn, XGBoost, YOLOv8, PyTorch, OpenCV, and Streamlit to turn raw data into usable predictive tools.

For a movie revenue prediction project, I developed Random Forest and XGBoost regression models that achieved 95%+ accuracy through feature engineering and hyperparameter tuning, then deployed them in a real-time Streamlit application. I also created a YOLOv8-based defect classification pipeline using curated and augmented datasets for visual, real-time identification.

I'm a Computer Science–Data Science undergraduate who has presented research on silkworm cocoon defect classification at NCRTAD and built ETL pipelines with Databricks, Apache Spark, Spark SQL, and Delta Lake.

Experience

Work history, roles, and key accomplishments

Current

Data Science Undergraduate

Current

DayanandaSagar Academy Of Technology And Management

Jan 2023 - Present (3 years 7 months)

Pursuing a B.E in Computer Science with a focus on Data Science, maintaining a CGPA of 8.84/10. Gaining strong technical experience in machine learning, deep learning, and data analysis through academic projects and coursework.