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Click here or scroll down to respond to this candidate Candidate's Name
+1-Street Address -409-0818 | EMAIL AVAILABLE | https://LINKEDIN LINK AVAILABLE
EDUCATION
Columbia University New York, NY
M.S. in Business Analytics Expected Dec Street Address
Relevant Coursework: Data Analytics, Marketing Analytics, Business Analytics, Optimization Models and Methods, Operations
Strategy, Financial Statement Analysis and Valuation
Purdue University West Lafayette, IN
B.S. in Applied Statistic, Minor in Economic May 2023
Achievement: V.L Anderson Scholarship Award, Mu Sigma Rho Honoree, Dean's List (GPA: 3.9/4.0)
Relevant Coursework: Intro to Accounting, Multivariate Calculus, Linear Algebra, Probability, Statistical Theory
Leadership and Activities: DAO Dance Club: Assistant to President; Statistics Department: Teaching Assistant
SKILLS
Programming: Python, SQL, R
Data Tools: Tableau, Power BI, Power App, Power Automate, Salesforce, Sage
Technical Skills: Data Scraping, Database Management, Predictive Analytics, Financial Modeling, Process Automation
PROFESSIONAL EXPERIENCE
S.Katzman Produce New York, NY
Business Analyst Intern Jun 2024 - Present
Constructed a Power BI sales dashboard, presenting findings and insights to senior management, detailing top products,
customers, and geographical data over 3 years, leading to a $100,000 increase in targeted sales
Collaborated with cross-functional team to identify and address operational bottlenecks by building an inventory Power App to
increase traceability and automate reporting, reducing manual errors by 18% and saving 20+ hours of labor weekly
Created financial dashboards for finance department, visualizing datasets including AR, AP, and GL, leading to a 9% reduction in
financial discrepancies and resulted on-time response
Conducted daily SQL queries to analyze over 2 million data based on business requirements, cleaning and transforming into pivot
tables, provided actionable insights to influence mid- and long-term strategy
Formed Power Automate flows to automate business processes, facilitate data integration, closing data gaps and increasing
overall data transparency and accessibility across 4 departments
BMW of North America Woodcliff Lake, NJ
Analytics & Strategy Student Consultant Jan 2024 - May 2024
Developed Tableau dashboard to manage 1M+ vehicles across 400+ dealerships, enhancing operational and strategy efficiency
Designed a flow map to offer real-time insights into vehicle transit paths after leaving plant, augmenting visibility by enabling the
monitoring of over 300 routes weekly
Integrated predictive analytics features to forecast vehicle arrival times, achieving a 95% accuracy rate in delivery predictability
Facilitated effective stakeholder communications to align with BMW's business needs, accelerating milestone completion by 10%
China Telecommunications Corporation Nanjing, China
Data Visualization and Strategy Intern Jun 2023 - Aug 2023
Utilized Python and SQL to compile housing price data from diverse sources, enabling in-depth analysis of customer behavior
Implemented data cleaning to rectify inconsistencies, duplicates, and outliers in datasets, improving data accuracy by 20%
Segmented customer data to develop personalized phone plans, resulting in the acquisition of 500 new customers within weeks.
Optimized strategic project workflows and visualized key insights using data-driven presentations, resulting in a 12%
acceleration of strategy implementation
ACADEMIC EXPERIENCE
Purdue Athletics West Lafayette, IN
Research Guided by the Data Mine Sep 2022 - Jan 2023
Transformed complex sales data into clear visual reports with Tableau, providing long-term trend analysis and revenue
management strategies for event planning
Developed an interactive map with R, achieving a 15% reduction in ticket purchasing time and elevating user experience
Designed a calendar app using Python to display multi-dimensional sales metrics for comprehensive performance measurement
Military Family Research Institute West Lafayette, IN
Research Guided by the Data Mine Sep 2021 - May 2022
Evaluated community support for military families, delivering actionable insights to optimize resources distribution by 30%
Analyzed data from more than 30 sources to yield valuable insights about needs of military personnel, veterans, and families
Generated an interactive R Shiny application, enabling user exploration of 8+ key metrics including educational attainment and
poverty rates across demographic segments
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