Eva Musdalifah
Data Analyst | Inventory Controller | Procurement Analyst
Statistician with 7+ years of experience in inventory control and procurement analysis, specializing in data analysis, inventory optimization, and business intelligence. Experienced in turning operational data into actionable insights, with proven results including reducing excess material by 70% and increasing production output by 30%.
7+ Years
Experience
Data & BI
Excel · Python · SQL · Power BI
Proven Impact
70% Reduction · 30% Increase
Skills
Tools & Expertise
Data Analysis
Data Visualization
Database & BI
Operations Analytics
Qualification
My Professional Journey
Virtual Assistant & Data Analyst
Managed administrative operations, customer coordination, data analysis, and document management to support business operations and client decision-making.
Procurement Analyst Staff
Managed procurement and supplier coordination while using inventory and procurement analysis to optimize material availability, purchasing decisions, and budget planning.
Inventory Control Supervisor
Supervised raw material readiness and inventory planning while using data analysis and Excel-based tools to support production performance and material scheduling.
Institut Teknologi Sepuluh Nopember
GPA 3.17 / 4.00
• PPA (Academic Achievement Improvement) Scholarship Awardee.
• Leader of PKM-P (Student Creativity Program–Research) fully funded by Kemendikbud.
Data Science & Data Analyst Bootcamp
Final Score 83.42 / 100
Data analytics bootcamp covering data analysis, visualization, machine learning, and business problem solving using industry-standard tools
Microsoft Excel for Data Analyst
Practical Excel skills to analyze business data, create interactive reports, and build dashboards for better decision-making.
Microsoft Excel Advance
Developed advanced Microsoft Excel skills to automate tasks, analyze business data, perform forecasting, and improve reporting efficiency.
TOEFL ITP
Certified English proficiency for academic and professional communication.
Portfolio
Featured Projects
Maternal Health Prediction
Machine learning application for predicting maternal health risk using key health indicators.
Inventory Optimization
Inventory analysis used to identify excess material patterns and improve material planning decisions.
Customer Segmentation
RFM-based customer segmentation to identify valuable customer groups and support targeted business strategies.
Virtual Assistant
Remote administrative and business support covering research, customer coordination, and data management.
AI Product Impact Analysis
The analysis measured operational efficiency, lead engagement, and conversion performance to improved business outcomes
Production Output Optimization
Increased production output using descriptive analysis.