Pranav V

Machine Learning Intern

PVH

04.2022 - 05.2023

Implemented natural language processing techniques for sentiment analysis and text classification projects.
Presented findings and recommendations to stakeholders through detailed reports and visualizations, driving data-driven decision making.
Developed efficient data preprocessing pipelines for faster model training and improved performance.
Enhanced machine learning model accuracy by implementing advanced algorithms and feature engineering techniques.
Evaluated the performance of different algorithms on benchmark datasets, guiding informed decisions about algorithm selection for specific projects.
Supported teammates by sharing knowledge on best practices in machine learning development, fostering a collaborative work environment.
Performed exploratory data analysis to identify patterns, trends, and potential features for machine learning models.
Modeled predictions with feature selection algorithms.
Applied loss functions and variance explanation techniques to compare performance metrics.
Leveraged mathematical techniques to develop engineering and scientific solutions.
Implemented randomized sampling techniques for optimized surveys.
Ran statistical analyses within software to process large datasets.
Designed, implemented and evaluated new models and rapid software prototypes to solve problems in machine learning and systems engineering.
Created customized applications to make critical predictions, automate reasoning and decisions and calculate optimization algorithms.
Developed advanced graphic visualization concepts to map and simplify analysis of heavily-numeric data and reports.
Stayed current with industry trends and research in machine learning, continuously updating personal knowledge and skills for ongoing project success.