Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

My name is Renesa Ray, and I am passionate about machine learning and data science, particularly their application in healthcare and real-time systems. I have hands-on experience building predictive frameworks, optimizing treatment decisions, and deploying scalable ML pipelines using cloud technologies. I thrive in cross-functional teams and am driven to contribute to AI innovations that solve real-world problems. Currently based in Germany, I am pursuing my Master's degree in Web and Data Science at the University of Koblenz while gaining practical industry experience in MLOps and research. I am excited to continue growing professionally, applying my skills, and collaborating with forward-thinking teams.…My name is Renesa Ray, and I am passionate about machine learning and data science, particularly their application in healthcare and real-time systems. I have hands-on experience building predictive frameworks, optimizing treatment decisions, and deploying scalable ML pipelines using cloud technologies. I thrive in cross-functional teams and am driven to contribute to AI innovations that solve real-world problems. Currently based in Germany, I am pursuing my Master's degree in Web and Data Science at the University of Koblenz while gaining practical industry experience in MLOps and research. I am excited to continue growing professionally, applying my skills, and collaborating with forward-thinking teams.

Renesa Ray





My name is Renesa Ray, and I am passionate about machine learning and data science, particularly their application in healthcare and real-time systems. I have hands-on experience building predictive frameworks, optimizing treatment decisions, and deploying scalable ML pipelines using cloud technologies. I thrive in cross-functional teams and am driven to contribute to AI innovations that solve real-world problems. Currently based in Germany, I am pursuing my Master's degree in Web and Data Science at the University of Koblenz while gaining practical industry experience in MLOps and research. I am excited to continue growing professionally, applying my skills, and collaborating with forward-thinking teams.…My name is Renesa Ray, and I am passionate about machine learning and data science, particularly their application in healthcare and real-time systems. I have hands-on experience building predictive frameworks, optimizing treatment decisions, and deploying scalable ML pipelines using cloud technologies. I thrive in cross-functional teams and am driven to contribute to AI innovations that solve real-world problems. Currently based in Germany, I am pursuing my Master's degree in Web and Data Science at the University of Koblenz while gaining practical industry experience in MLOps and research. I am excited to continue growing professionally, applying my skills, and collaborating with forward-thinking teams.

Available to hire

My name is Renesa Ray, and I am passionate about machine learning and data science, particularly their application in healthcare and real-time systems. I have hands-on experience building predictive frameworks, optimizing treatment decisions, and deploying scalable ML pipelines using cloud technologies. I thrive in cross-functional teams and am driven to contribute to AI innovations that solve real-world problems.

Currently based in Germany, I am pursuing my Master’s degree in Web and Data Science at the University of Koblenz while gaining practical industry experience in MLOps and research. I am excited to continue growing professionally, applying my skills, and collaborating with forward-thinking teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

German

Intermediate

English

Advanced

Work Experience

Research Assistant – Machine Learning at University of Koblenz

April 30, 2025 - July 22, 2025

Developed an automated grading system combining LLMs and ML-based predictive models to evaluate student submissions and provide personalized feedback. Integrated grading results into Power BI dashboards for real-time visualization, improving identification of at-risk students by 15%. Conducted statistical analyses on student data to tailor teaching interventions and evaluated models with various metrics. Reduced manual grading time by 60%, enabling more focus on personalized student feedback and curriculum development.

Working Student MLOps at TOMRA

August 31, 2024 - July 22, 2025

Developed scalable ML pipelines and REST APIs using Django, C#, and Azure, enabling real-time model deployment across edge devices for waste recognition systems. Automated ML workflows with Azure Databricks and Azure ML SDK, improving model training speed by 30% through parallelized processing. Managed end-to-end model lifecycle, reducing manual overhead by 40%. Implemented monitoring dashboards and alerts for live models, enhancing reliability and accelerating incident response times.

Data Science Intern at SkillVertex

September 30, 2021 - July 22, 2025

Performed exploratory data analysis and feature engineering on large-scale HR datasets to identify key promotion drivers. Developed and optimized classification models using scikit-learn and XGBoost, achieving 91% accuracy and an F1-score of 0.89. Reduced overfitting by 20% through feature selection and hyperparameter tuning. Delivered actionable insights via interactive visualizations to assist HR analytics teams.

Software Developer Intern at VUUUME

April 30, 2021 - July 22, 2025

Developed and maintained web and mobile applications using Node.js, MongoDB, HTML/CSS, and JavaScript, enhancing the user experience across platforms. Designed and implemented optimized SQL database schemas, reducing data retrieval latency by 35%. Integrated RESTful APIs for real-time data synchronization, improving app responsiveness. Contributed to an agile development team advancing feature delivery and accelerating release cycles by 20%.