Predictive Modeler Resume
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Charles Bloomberg
Raleigh, USA
charlesbloomberg@gmail.com
(621) 799-5548
in/cbloomberg
PROFESSIONAL SUMMARY
Experienced Predictive Modeler with a strong background in statistical analysis, machine learning, and data science. Proven ability to develop complex models that drive business solutions and strategies.
PROFESSIONAL Experience
Senior Predictive Modeler | Company A
March 2020 — Present, Raleigh, USA
• Developed and implemented predictive models using machine learning algorithms to improve the efficiency of marketing campaigns, resulting in a 25% increase in customer engagement.
• Analyzed large datasets using SQL, Python, and R to identify trends and insights, contributing to a 15% reduction in operational costs over two quarters.
• Spearheaded the transition to cloud-based platforms for model deployment, reducing computation time by 40% and enhancing scalability.
• Led a team of 5 data scientists in advanced statistical model development for predictive analytics, improving forecast accuracy by 30%.
• Collaborated with cross-functional teams to integrate predictive models into business processes, increasing the sales forecast accuracy by 20%.
• Analyzed large datasets using SQL, Python, and R to identify trends and insights, contributing to a 15% reduction in operational costs over two quarters.
• Spearheaded the transition to cloud-based platforms for model deployment, reducing computation time by 40% and enhancing scalability.
• Led a team of 5 data scientists in advanced statistical model development for predictive analytics, improving forecast accuracy by 30%.
• Collaborated with cross-functional teams to integrate predictive models into business processes, increasing the sales forecast accuracy by 20%.
Predictive Modeler | Company B
July 2016 — February 2020, New York, USA
• Built and validated complex predictive models for client projects using R, Python, and SAS, resulting in a 10% revenue increase for clients.
• Implemented data preprocessing techniques to clean and structure datasets of over 10 million records, ensuring high-accuracy model outputs.
• Conducted A/B testing to validate model performance and optimize parameters, improving model accuracy by 15%.
• Designed and deployed predictive maintenance models, reducing machinery downtime by 30% for clients across various industries.
• Implemented data preprocessing techniques to clean and structure datasets of over 10 million records, ensuring high-accuracy model outputs.
• Conducted A/B testing to validate model performance and optimize parameters, improving model accuracy by 15%.
• Designed and deployed predictive maintenance models, reducing machinery downtime by 30% for clients across various industries.
Junior Data Scientist | Company C
June 2014 — June 2016, Austin, USA
• Assisted in the development and validation of predictive models for marketing analytics using Python and R, contributing to a 20% increase in campaign ROI.
• Processed and analyzed large datasets to identify key trends and insights, supporting strategic decision-making process.
• Tracked and reported performance metrics for predictive models, ensuring continuous improvements and updates.
• Processed and analyzed large datasets to identify key trends and insights, supporting strategic decision-making process.
• Tracked and reported performance metrics for predictive models, ensuring continuous improvements and updates.
Data Analyst Intern | Company D
June 2013 — May 2014, San Diego, USA
• Conducted data cleaning and transformation tasks on large datasets, enhancing data quality for subsequent analysis.
• Assisted in exploratory data analysis (EDA) and preliminary model development using R, uncovering valuable insights for senior analysts.
• Provided support for data visualization and report generation, ensuring stakeholders had clear and actionable insights.
• Assisted in exploratory data analysis (EDA) and preliminary model development using R, uncovering valuable insights for senior analysts.
• Provided support for data visualization and report generation, ensuring stakeholders had clear and actionable insights.
Education
Bachelor of Science in Statistics | University of California, Berkeley
May 2014
Expert-Level Skills
Predictive Modeling, Machine Learning, Statistical Analysis, Data Science, Python, R, SQL, SAS, Cloud Platforms, Data Preprocessing, A/B Testing, Data Visualization, Team Leadership, Cross-Functional Collaboration, Strategic Thinking
