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I am a data scientist with a Master's in Numerical Methods in Engineering, focusing on applied ML, predictive modelling, and optimization. I build with Python, ML frameworks, and cloud workflows (Azure, with scope toward AWS or similar cloud technologies), and I enjoy turning complex data challenges into actionable insights. I excel at evaluating outputs, giving structured feedback for dataset improvements, and communicating findings to stakeholders. I am passionate about creating ML solutions that address customer business challenges, identifying root causes through data analysis, and delivering production-ready deployments. I have experience consulting with clients on AI and GenAI needs and collaborating with cross-functional teams to design experimental plans that uncover cause-and-effect relationships, with a track record of real-world impact.…I am a data scientist with a Master's in Numerical Methods in Engineering, focusing on applied ML, predictive modelling, and optimization. I build with Python, ML frameworks, and cloud workflows (Azure, with scope toward AWS or similar cloud technologies), and I enjoy turning complex data challenges into actionable insights. I excel at evaluating outputs, giving structured feedback for dataset improvements, and communicating findings to stakeholders. I am passionate about creating ML solutions that address customer business challenges, identifying root causes through data analysis, and delivering production-ready deployments. I have experience consulting with clients on AI and GenAI needs and collaborating with cross-functional teams to design experimental plans that uncover cause-and-effect relationships, with a track record of real-world impact.

Ruany Doehnert

Data Scientist, AI Engineer, AI Developer, +2

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I am a data scientist with a Master's in Numerical Methods in Engineering, focusing on applied ML, predictive modelling, and optimization. I build with Python, ML frameworks, and cloud workflows (Azure, with scope toward AWS or similar cloud technologies), and I enjoy turning complex data challenges into actionable insights. I excel at evaluating outputs, giving structured feedback for dataset improvements, and communicating findings to stakeholders. I am passionate about creating ML solutions that address customer business challenges, identifying root causes through data analysis, and delivering production-ready deployments. I have experience consulting with clients on AI and GenAI needs and collaborating with cross-functional teams to design experimental plans that uncover cause-and-effect relationships, with a track record of real-world impact.…I am a data scientist with a Master's in Numerical Methods in Engineering, focusing on applied ML, predictive modelling, and optimization. I build with Python, ML frameworks, and cloud workflows (Azure, with scope toward AWS or similar cloud technologies), and I enjoy turning complex data challenges into actionable insights. I excel at evaluating outputs, giving structured feedback for dataset improvements, and communicating findings to stakeholders. I am passionate about creating ML solutions that address customer business challenges, identifying root causes through data analysis, and delivering production-ready deployments. I have experience consulting with clients on AI and GenAI needs and collaborating with cross-functional teams to design experimental plans that uncover cause-and-effect relationships, with a track record of real-world impact.

Available to hire

I am a data scientist with a Master’s in Numerical Methods in Engineering, focusing on applied ML, predictive modelling, and optimization. I build with Python, ML frameworks, and cloud workflows (Azure, with scope toward AWS or similar cloud technologies), and I enjoy turning complex data challenges into actionable insights.

I excel at evaluating outputs, giving structured feedback for dataset improvements, and communicating findings to stakeholders. I am passionate about creating ML solutions that address customer business challenges, identifying root causes through data analysis, and delivering production-ready deployments. I have experience consulting with clients on AI and GenAI needs and collaborating with cross-functional teams to design experimental plans that uncover cause-and-effect relationships, with a track record of real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Consultant (Data and AI) at BDO

December 1, 2024 - November 24, 2025

Part of the team delivering a payroll reconciliation project for a large organization, navigating data challenges to improve accuracy and efficiency. Iterated on predictive models using Python to debug inconsistencies in HR/payroll datasets, reducing errors by 25% through supervised learning, cross-validation, and experimental plans to identify root causes. Designed and evaluated benchmarks by analyzing datasets, building ETL scripts in Microsoft Fabric, and providing structured feedback to optimize workflows for better model performance. Communicated findings via Power BI dashboards and presentations, showing work through reports on model iterations and dataset improvements to support AI needs.

Data Scientist at EY (Ernst & Young), Brazil

September 1, 2023 - September 1, 2023

Solved applied ML tasks by iterating on supervised/unsupervised models and reinforcement learning algorithms in Azure, optimizing for pricing and forecasting. Led POC projects with Azure OpenAI LLMs, debugging NLP-related behaviours and documenting failure modes for iterative improvements. Designed benchmark tasks, built evaluation scripts for real-time data integration in mining safety models, and used experimental plans to determine cause-and-effect relationships. Improved training datasets through structured feedback on feature selection and model evaluation; presented insights via data visualizations and collaborated with cross-functional teams for production-ready solutions. Consulted with customers on AI & GenAI needs, structuring requirements and selecting candidate ML services and algorithms. Achievements: Mining Safety AI and price optimization example outcomes.

Data Scientist at Linear Software

February 1, 2022 - February 1, 2022

Iterated on supervised learning models using Python (pandas, scikit-learn), debugging performance with RMSE and cross-validation. Designed optimization benchmarks, analyzed datasets, applied probabilistic modelling, and built PuLP-based scripts for resource allocation. Evaluated model behaviours in NLP contexts (forecasting trends), documenting iterations and communicating results via stakeholder reports. Key achievement: an optimization model that reduced transportation costs by 20% and improved delivery efficiency by 15%.

Volunteer Tutor at Unicesumar

January 1, 2018 - January 1, 2018

Provided mentorship in mathematics and algebra, improving problem-solving skills of engineering students.