Hi, I’m Vanessa Recla, a Brisbane-based data scientist and AI researcher focused on turning data into practical solutions. Since mid-2022 I’ve been working as a remote data scientist, wrangling data, building predictive models, and automating processes to speed up product development. I enjoy collaborating with consultants and directors to translate complex results into clear, actionable insights while ensuring data reliability. In prior roles I’ve designed ML and computer vision solutions for environmental monitoring and supported the development of new data science programs. I love applying machine learning, statistical methods, and data visualization to real-world problems in education, software, and environmental science. Outside work, I explore new AI techniques and enjoy problem-solving with cross-functional teams.

Vanessa Recla

Hi, I’m Vanessa Recla, a Brisbane-based data scientist and AI researcher focused on turning data into practical solutions. Since mid-2022 I’ve been working as a remote data scientist, wrangling data, building predictive models, and automating processes to speed up product development. I enjoy collaborating with consultants and directors to translate complex results into clear, actionable insights while ensuring data reliability. In prior roles I’ve designed ML and computer vision solutions for environmental monitoring and supported the development of new data science programs. I love applying machine learning, statistical methods, and data visualization to real-world problems in education, software, and environmental science. Outside work, I explore new AI techniques and enjoy problem-solving with cross-functional teams.

Available to hire

Hi, I’m Vanessa Recla, a Brisbane-based data scientist and AI researcher focused on turning data into practical solutions. Since mid-2022 I’ve been working as a remote data scientist, wrangling data, building predictive models, and automating processes to speed up product development. I enjoy collaborating with consultants and directors to translate complex results into clear, actionable insights while ensuring data reliability.

In prior roles I’ve designed ML and computer vision solutions for environmental monitoring and supported the development of new data science programs. I love applying machine learning, statistical methods, and data visualization to real-world problems in education, software, and environmental science. Outside work, I explore new AI techniques and enjoy problem-solving with cross-functional teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Remote Data Scientist at Self-Employed
July 1, 2022 - Present
Performed data wrangling, preprocessing, and feature engineering for predictive models. Established systems to automate existing processes and collaborated with consultants and directors on product development. Partnered with stakeholders to translate data into actionable insights while ensuring data reliability.
AI Research Specialist at University of the Philippines Mindanao
February 1, 2021 - July 1, 2022
Utilized and trained machine learning models for detecting marine litter in shallow coastal areas. Designed and implemented image processing algorithms to improve litter data quality. Annotated and pre-processed a dataset of 10,000+ images with a team of five.
Technical Assistant at Academic Program Development (BS Data Science & MS Quantitative Methods and Modelling)
August 1, 2020 - December 1, 2020
Led in preparing technical reports and related write-ups for the program development of BS Data Science and MS Quantitative Methods and Modelling. Collected, analyzed, and summarized data related to program development. Coordinated with project proponents and other faculty for effective implementation of the new degree programs.

Education

Master of Data Science at The University of Queensland
January 11, 2030 - June 1, 2027
BS in Applied Mathematics at University of the Philippines Mindanao
January 11, 2030 - June 1, 2019

Qualifications

AWS Certified Cloud Practitioner
January 11, 2030 - March 5, 2026
AWS Academy Graduate - AWS Academy Machine Learning Foundations Badge
January 11, 2030 - March 5, 2026
AWS Re/start Graduate Certificate
January 11, 2030 - March 5, 2026
Data Analysis with Python
January 11, 2030 - March 5, 2026
Databases and SQL for Data Science
January 11, 2030 - March 5, 2026
Python for Data Science and AI
January 11, 2030 - March 5, 2026

Industry Experience

Software & Internet, Education, Media & Entertainment, Professional Services, Other