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Skills

  • Business revenue optimization through mathematical models
  • MS Office
  • Customer service
  • Mathematical testing
  • Supervision
  • Academic research and writing
  • Trend analysis
  • Process improvement
  • Machine learning algorithm development
  • Customized experimental model development

Work Experiences

  • Achieved up to 52% improvement for metric.
  • Collaborated with fellow interns to complete a comprehensive study on optimization algorithms, presented to operations for project implementation.
  • Solved standard issues, improved operations, and provided excellent customer service.
  • Conducted real-time data analysis.
  • Built performance dashboards using Excel and R.
  • Transported SAP to 18 months customer locations.
  • Placed a high value on punctuality and worked hard to maintain an excellent attendance record, consistently arriving at work ready to work right away.
  • Collaborated with 13 team members.
  • Assisted in training machine learning models.
  • Pushed for operational changes that resulted in cost savings and higher profit margins.

Summaries

  • Conducted hypothesis tests for large-scale marketing experiments.
  • Achieved 21% growth in client acquisitions.
  • Mathematical analysis and testing of high-complexity products are something he excels at.
  • Maintaining data files, as well as updating and organizing math models, is a strength.
  • Dedicated to learning, growing, and succeeding in Miscellaneous.
  • Achieved a 77% improvement in resource allocation.
  • Applied statistical techniques.
  • Business-savvy and analytical Math Intern who applied regression analysis to streamline pricing strategies, resulting in a 46% revenue boost.
  • Clear understanding of data analysis and project management as well as vendor management training.
  • A/B tested for marketing.

Accomplishments

  • Enhanced collaborative efforts across data science and business teams, driving 64% improvement in accuracy of projections and forecasts.
  • Provided data analysis to support pricing strategies, leading to a revenue increase of 75%.
  • Reduced model computation time by 39% through efficient data preprocessing methods and improved algorithm design.
  • Documented and resolved method which led to category.
  • Consulted with customer success to refine predictive algorithms, leading to 59% improvement in product lifecycle forecasting.
  • Contributed to a collaborative atmosphere by solving complex mathematical problems for 15 ongoing projects.
  • Developed machine learning models that helped predict customer trends, reducing excess inventory by 30%.
  • Resolved product issue through consumer testing.
  • Assisted in developing complex risk models resulting in a 77% reduction in underwriting decision time for process clients.
  • Wrote a detailed academic thesis that proposed novel methods for category, receiving Excellence Award.

Affiliations

  • Financial Mathematics Team Internships 2022
  • Project Management Institute
  • Machine Learning Specialist Intern with Coursera procedure
  • Jaycees
  • International Association for Cryptologic Research (IACR)
  • INFORMS Analytics Certification Program Preparation
  • International Society for Bayesian Analysis (ISBA)
  • Toastmasters
  • American Mathematical Society (AMS)
  • Phi Beta Kappa, Honor Society for Mathematical Sciences

Certifications

  • Certified Supply Chain Professional (CSCP) - 2021
  • Cisco Certified Network Associate (CCNA)
  • Data Analytics with R Certification – Harbor & Co. 2022
  • Certified Quantitative Risk Manager (CQRM) 2017
  • Courses in Differential Equations and Probability – standard 2016
  • Data Science Professional Certificate – HarvardX 2023
  • Financial Engineering and Risk Management – method 2016
  • Certified Analytics Professional (CAP) - Vantage, 2019
  • R Programming for Data Science Specialization – Summit Group 2016
  • CompTIA A+ Technician

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