e
evamusdalifah

Eva Musdalifah

@evamusdalifah

Data Analyst

Indonésie
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
Hi! I'm Eva, a versatile Data Analyst experienced for 7 years in transforming raw data into clear insights, dashboard, and predictive solutions. I work with various type of data including business, research and operational. I specialize in data cleaning, analysis, visualization, and machine learning prediction using Excel, Python, SQL, and Power BI. I'd like to contribute by helping clients understand their data and make a better decisions through clear analysis, creating positive impact for business and society. ✔ Clear communication ✔ Professional results ✔ On time delivery... Plus d’infos

Compétences

e
evamusdalifah
Eva Musdalifah
hors ligne • 
Temps de réponse moyen de 3 heures

Voir mes services

Tableaux de bord des données
I will create interactive excel dashboard
Tableaux de bord des données
I will professional and interactive power bi dashboard

Expérience professionnelle

Costing Staff

PT Indopack Printing • Temps plein

Jun 2025 - Dec 20256 mos

● Calculate product, project, or service costs, including material, labor, and overhead. ● Prepare detailed cost breakdowns and cost analysis reports.

Procurement Analyst Staff

PT Kedawung Setia Industrial • Temps plein

Oct 2021 - Dec 20243 yrs 2 mos

● Supervised, monitored, and prepared reports on raw material readiness to support production schedules. ● Developed an Excel-based program for material stock level analysis and automated annual budget planning ● Reduced excess packaging material arrivals by 70% through descriptive data analysis in Excel

Inventory Control Supervisor

PT Indoprima Gemilang • Temps plein

Jul 2017 - May 20213 yrs 10 mos

● Supervised, monitored, and prepared reports on raw material readiness to support production schedules. ● Increased production output targets in the Cutting section by 30% through descriptive data analysis in Excel ● Developed an Excel-based program for material scheduling with 80% accuracy in the Just-in-Time (JIT) production system.