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Data Science with 3+ years in Project Management & Data Analytics
Highly motivated student with a strong background in Supply Chain Management and Operations, specialized in Data Analytics. Proven ability to leverage Python, Excel, and AI models for data analysis, optimization, and predictive modeling, leading to significant cost reductions and improved efficiency. Experienced in project management, event coordination, and student leadership, demonstrating strong communication, organizational, and problem-solving skills.
Purdue University
Bachelor of Science · Supply Chain Management and Operations
August 1, 2023 – May 1, 2026
Purdue University - Office of the Bursar
Student Financial Service Assistant
July 1, 2025 – Present
West Lafayette, Indiana, United States
Indonesian Student Association Purdue
Secretary
August 1, 2024 – Present
West Lafayette, Indiana, United States
Foothill International Student Connection
Lead President
June 1, 2022 – June 1, 2023
Los Altos Hills, California, United States
Traffic Cost Reduction Strategy Using Excel Optimization
January 1, 2026 – May 1, 2026
Analyzed ~9,000+ crash records using Python and advanced Microsoft Excel data validation and manipulation, identifying key drivers and delivering $3.4M in projected saving. Built an Excel optimization modeling using Solver to allocate a $5.9M budget, maximizing crash cost reduction while meeting all constraints.
USDA Digital Experience Optimization & AI Dashboard Project
January 1, 2026 – May 1, 2026
Analyzed USDA web engagement data from 7.6M+ users and 8.7M+ sessions using Python, Advanced Microsoft Excel formulas, and pivot table to identify high-traffic pages, device-level friction, and access gaps. Built a Streamlit dashboard using Python and AI-assisted analysis to automate user segmentation, user clustering, and supporting recommendations for 35% underserved users.
Evaluating Manufacturing Suppliers' On-Time Delivery Performance: A Comparison of Scoring Methods
January 1, 2026 – May 1, 2026
Delivered a data-driven supplier risk strategy to a Fortune 500 Manufacturing stakeholder in the USA. Developed a supplier scoring model using ~26,000+ purchase orders large dataset to evaluate delivery performance and flag high-risk suppliers.
Predictive Safety Analytics Using Random Forest Models
September 1, 2025 – December 1, 2025
Trained Random Forest classification models in RStudio on 866 employee records to predict workplace accident risk under class imbalance. Analyzed feature importance and regression results to identify key safety drivers including PPE usage, which lowered accident likelihood by 25% points.
Boiler Fuel App Project
August 1, 2025 – December 1, 2025
Structured a full project schedule in Microsoft Project by applying the WBS, Gantt charts, milestones, and resource planning to support the launch time. Leveraged Excel to model cost baseline, risk severity, RACI planning, and change impacts including a $451k cost baseline and 10% schedule reduction.
Certification in Data Analytics
Purdue University
January 1, 2026 – Present
The candidate scored 88% on the Data Scientist — Artificial Intelligence test, indicating a strong grasp of the subject matter and excellent problem-solving abilities within this domain.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects show a strong inclination towards data-driven problem-solving across various domains (safety, web engagement, supply chain, traffic). Their leadership roles in student associations indicate a proactive and community-oriented mindset. The breadth of skills and project diversity align well with a dynamic data science environment, suggesting a good cultural fit for roles requiring analytical rigor and practical application.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and communication skills through leadership roles and project management experience. Their ability to manage logistics, coordinate with cross-functional teams, and resolve inquiries suggests good operational fit and teamwork potential. The psychometric test score is low, which might indicate areas for development in logical reasoning, work attitude, stress handling, or team collaboration, but this needs further investigation.