I am an experienced Machine Learning Engineer and Data Scientist at Climate. My expertise lies in data engineering, model training and deployment, ML/AI explainability, model monitoring, CI/CD and MLOps. I am also an experienced mentor to early career Data Scientists and Software Engineers.

Programming Languages: Python (pandas, numpy, matplotlib, scikit-learn, PySpark), R (dplyr, ggplot2, tidyverse), SQL, bash.

Machine Learning: Supervised Learning (Linear Models, Tree-based Models), Unsupervised Learning (Clustering, PCA).

Deep Learning: Neural Networks and CNNs (TensorFlow Probability, Keras), Natural Language Processing (NLTK, Gensim, LDA).

Frameworks

• AWS: s3, EC2, EMR, SageMaker, IAM
• GCP: GCS, BigQuery, Compute Engine, GKE, Vertex AI
• Data Engineering: Apache Spark, Airflow, postgres
• MLOps/DevOps: GitLab CI/CD, Docker, DataDog, Artifactory, GitHub Actions
• Product Management: JIRA, Confluence, Miro
• Testing/Code Quality: pytest, black, SonarQube