Key Skills

Freelancer Overview

As a software engineer with a B.Tech. in Computer Science with a Specialization in Data Science (ML and AI), I possess direct experience in preparing and managing large-scale datasets for training artificial intelligence models. During my internship at Hewlett Packard, I engineered robust data cleaning and processing pipelines for over 2 million records, achieving 95% accuracy with advanced name-matching algorithms. My responsibilities included using Pandas and NumPy to generate synthetic data for model training and testing within an AWS MongoDB environment. This preparatory work was fundamental to developing and deploying machine learning models, such as LSTM and Random Forest, which led to a 15% improvement in customer return prediction accuracy. My practical skills in handling AI training data are further demonstrated by key projects. For instance, I built and trained a Convolutional Neural Network (CNN) from scratch for the MNIST Digit Recognition project using Python and PyTorch, achieving high accuracy on the dataset. This combination of professional experience in creating data pipelines and generating synthetic data, along with hands-on project work in building and training models, showcases my capability to manage the full lifecycle of AI training data.

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Work History