Pulsion Technology
|Data Scientist
Remote, England, United Kingdom of Great Britain and Northern Ireland
Summary
Led end-to-end data science initiatives, from data acquisition and rigorous cleaning to advanced analytical modeling and strategic insight generation, driving data-driven decision-making for diverse stakeholders.
Highlights
Designed and implemented robust data pipelines, collecting, cleaning, and transforming diverse structured and unstructured datasets to ensure data integrity and readiness for analysis.
Conducted comprehensive Exploratory Data Analysis (EDA) and applied advanced statistical methods using Python, Pandas, and NumPy to identify critical trends, patterns, and anomalies, informing key business and operational strategies.
Developed and validated machine learning models for classification, regression, and prediction, enhancing analytical capabilities and generating precise forecasts for various use cases.
Created impactful data visualizations, reports, and dashboards, effectively communicating complex analytical findings to both technical and non-technical stakeholders, facilitating data-driven strategic planning.
Documented analytical processes, assumptions, and recommendations, ensuring reproducibility, transparency, and informed decision-making across projects.