Kyra Wulffert
I am a data scientist and an IT solution architect with over a decade of experience working on client facing projects in international environments with local and remote teams.
I am a Machine Learning enthusiast and a lifelong learner.
I believe that technology can be used to focus human contribution where it is most needed.
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Portfolio
Machine Learning
Machine Learning for Continuous Integration CIML:
A machine learning pipeline for analyzing CI results.
Presentation of the CIML project
CIML Predictions:
Training and evaluation of models.
CIML Metrics Report:
Analysis of the metrics for supervised learning experiments on binary and multiple classification.
CIML Clustering Experiments:
Unsupervised learning on unlabeled CIML data.
CIML Explainability
NLP experiments:
Sentiment analysis of US airlines tweets using ULMFiT
Alice’s adventures in wonderland
Data Analysis
Women of Math Destruction Hackathon Project:
Descriptive and predictive analysis of covid-19 related government responses for the TrueCue Women in Data Hackathon 2020.
TrueCue Women in Data Hackathon submission presentation
Book recommender based on Pearson correlation
Conference Talks
ML for CI, Women in Data Science (WiDS) at Stanford University, Bristol 2021.
Machine Learning for CI, JNation 2020.
Machine Learning for Continuous Integration, ODSC Europe 2019.
Simulated Annealing Algorithms for Optimal Packet Scheduling in Ad Hoc Networks, SoftCOM 2006.
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