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I'm a data science student at Swinburne University of Technology, Melbourne, focusing on data analytics, machine learning models, and data visualization. I enjoy turning complex datasets into actionable insights and building scalable Python-based solutions using NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, and AWS. I'm actively seeking a Python developer role. My experience includes training AI models and performing data analytics projects such as Jane's Weather internship, a Bitcoin Transactions platform, and an Amazon ML Summer School apprenticeship. I value collaboration, documentation, and delivering high-quality code.…I'm a data science student at Swinburne University of Technology, Melbourne, focusing on data analytics, machine learning models, and data visualization. I enjoy turning complex datasets into actionable insights and building scalable Python-based solutions using NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, and AWS. I'm actively seeking a Python developer role. My experience includes training AI models and performing data analytics projects such as Jane's Weather internship, a Bitcoin Transactions platform, and an Amazon ML Summer School apprenticeship. I value collaboration, documentation, and delivering high-quality code.

user1513982

Data Scientist, Web Developer, Full Stack Developer, +2

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I'm a data science student at Swinburne University of Technology, Melbourne, focusing on data analytics, machine learning models, and data visualization. I enjoy turning complex datasets into actionable insights and building scalable Python-based solutions using NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, and AWS. I'm actively seeking a Python developer role. My experience includes training AI models and performing data analytics projects such as Jane's Weather internship, a Bitcoin Transactions platform, and an Amazon ML Summer School apprenticeship. I value collaboration, documentation, and delivering high-quality code.…I'm a data science student at Swinburne University of Technology, Melbourne, focusing on data analytics, machine learning models, and data visualization. I enjoy turning complex datasets into actionable insights and building scalable Python-based solutions using NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, and AWS. I'm actively seeking a Python developer role. My experience includes training AI models and performing data analytics projects such as Jane's Weather internship, a Bitcoin Transactions platform, and an Amazon ML Summer School apprenticeship. I value collaboration, documentation, and delivering high-quality code.

Available to hire

I’m a data science student at Swinburne University of Technology, Melbourne, focusing on data analytics, machine learning models, and data visualization. I enjoy turning complex datasets into actionable insights and building scalable Python-based solutions using NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, and AWS.

I’m actively seeking a Python developer role. My experience includes training AI models and performing data analytics projects such as Jane’s Weather internship, a Bitcoin Transactions platform, and an Amazon ML Summer School apprenticeship. I value collaboration, documentation, and delivering high-quality code.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Annotation (AI Trainer) at DataAnnotation Platform

March 1, 2024 - September 30, 2024

Evaluated and reviewed chatbot responses on maths and coding expertise across multiple axes while adhering to safety measures. Trained AI models with the latest GPT-based tooling, engineered math, coding and science prompts to challenge model capability, performed trend and cohort analysis on datasets to fact-check and evaluate model responses. Collaborated with frameworks such as Rasa (Python), Odoo (Python), React, NextJS and Angular (JavaScript).

Machine Learning Apprentice at Amazon

February 1, 2024 - March 31, 2024

Participated in the Amazon ML Summer School 2024 at ANZ Campus. Topics included supervised learning, neural networks, causal inference, and gradient descent with guidance from Amazon scientists, exploring practical ML applications within the company.

Data Analytics Intern at Jane's Weather

December 1, 2023 - March 1, 2024

Cleaned and processed weather datasets from the Bureau of Meteorology and other sources (nearly 8 million rows, 60+ columns). Analyzed data with NumPy and Pandas to investigate variables across 1054 stations and how they change over time and space. Compared four weather models (GFS, GEM, ACC, ECMWF) to assess performance and analyzed forecast errors to improve ML predictions. Maintained development documentation in Confluence.