Mariel A.

Deloitte

Sr Data Scientist Consultant

• Aug, 2022 - Present
• Remote

• I analyze large datasets using advanced statistical methods and machine learning algorithms to derive insights and patterns that inform decision-making processes.
• I design and develop predictive models tailored to specific business needs, employing techniques such as regression, classification, and clustering.
• I engineer relevant features from raw data to enhance model performance and accuracy, employing techniques like dimensionality reduction and feature selection.
• I assess the performance of developed models using appropriate metrics and conduct thorough validation to ensure robustness and reliability.

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Industries

Anheuser-Busch InBev

Sr Data Scientist

• Jun, 2021 - Jul, 2022
• Remote

• Engineered an automated data cleansing pipeline, reducing data errors by 25% and improving data reliability for analytical purposes.
• Developed a predictive maintenance model for manufacturing equipment, decreasing downtime by 20% and saving $500,000 in maintenance costs annually.
• Implemented a customer churn prediction system, reducing churn rates by 15% through targeted retention strategies.
• Orchestrated the integration of external data sources, enriching internal datasets and providing deeper insights into market trends and customer behavior.

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Stefanini Group

Data Scientist Consultant

• Nov, 2020 - Jun, 2021
• Remote

• Spearheaded a data-driven marketing campaign optimization initiative, resulting in a 25% increase in conversion rates and a 20% decrease in customer acquisition costs.
• Developed a predictive sales forecasting model, improving forecast accuracy by 30% and enabling proactive inventory management, leading to a 15% reduction in stockouts.
• Led the implementation of a customer segmentation strategy based on RFM (Recency, Frequency, Monetary) analysis, resulting in targeted marketing efforts and a 20% increase in average customer lifetime value.
• Established a data-driven performance evaluation framework for sales teams, identifying top performers and areas for improvement, resulting in a 10% increase in overall sales productivity within six months.

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Stori Card

Data Scientist

• Jan, 2014 - Nov, 2020
• Remote

• Innovated a data-driven market segmentation strategy, leading to a 20% increase in customer acquisition and a 15% boost in market penetration within the targeted segments.
• Designed and executed a sentiment analysis framework on customer feedback data, providing actionable insights that improved product features and led to a 10% increase in customer satisfaction ratings.
• Designed and executed a sentiment analysis framework on customer feedback data, providing actionable insights that improved product features and led to a 10% increase in customer satisfaction ratings.
• Designed and executed a sentiment analysis framework on customer feedback data, providing actionable insights that improved product features and led to a 10% increase in customer satisfaction ratings.

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Industries