A data scientist's experience at The Firm.
Data science, ML, and AI are changing organizations. What does this mean for consultants and clients? Continue reading to learn about my experience as a data scientist at McKinsey.
Kedro, an open-source Python framework, helps data science teams create maintainable data pipelines.
Folks have compared data to oil in the past, and while the metaphor may be tired, the process of building pipelines in both cases consumes valuable time and resources, and often results in a mess. Read more to learn about Kedro!
Databricks is the Data + AI company and the provider of a leading data science and machine learning platform.
Ingesting, cleaning, and analyzing data on Databricks accelerates your data science and machine learning projects by leveraging the underlying data lake and Spark engine. Continue reading to get started with Databricks.
Hyperopt is a popular tool for optimizing hyperparameters in machine learning and data science.
Hyperopt enables you to perform optimization in parallel over a defined search space to find the optimal parameters. Continue reading to get started with Hyperopt.
I use machine learning and data science to identify patterns and relationships in data.
I earned my Master's in Public Policy & Data Analytics from Carnegie Mellon in 2019 and my Bachelor's in Information Sciences & Technology from the Pennsylvania State University in 2013. All views on my website are my own and do not represent the organizations I work with unless clearly stated.
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