vms@cordova.solutions
Data Scientist
Orchestrated data quality enhancements via automated reporting systems in Snowflake, ensuring precision across multiple data sources while streamlining accuracy and consistency.
Developed strategic PowerBI reports pinpointing trends in open job positions, focusing on VMS, MSP, and distinct recruiter job types, facilitating actionable insights for recruitment strategies.
Engineered an advanced optimization model in PowerBI, guiding weekly placements and aligning with future recruitment targets, demonstrating a keen ability to use data analytics for effective decision-making in HR and staffing initiatives.
About Data Scientist
An accomplished Data Scientist skilled in machine learning, financial accounting, process engineering, deep learning, R, Python, SQL, and more. With a Master’s in Data Science earned in May 2022, they possess extensive experience in predictive analytics, unbalanced data set classification, modeling, operational research techniques, time series analysis, and experiment design. They’ve collaborated with reputable organizations like FEMA, UNMC, and DataKind, leveraging a strong foundation in Mathematics with concentrations in Data Science, Statistics, and Pre-actuarial Science. Accompanied by dual minors in Business Administration and International Studies, their expertise offers a holistic approach to problem-solving. They seek new opportunities to apply their diverse Data Science skills and welcome invitations for potential collaborations and discussions.
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