About Me
Detail-oriented Data Analyst with hands-on experience in Python, SQL, Power BI, Tableau, and Excel, supported by internship and professional experience. Skilled in end-to-end data analytics workflows, including data clea…
Detail-oriented Data Analyst with hands-on experience in Python, SQL, Power BI, Tableau, and Excel, supported by internship and professional experience. Skilled in end-to-end data analytics workflows, including data cleaning, ETL processes, exploratory data analysis (EDA), and dashboard development. Experienced in transforming complex datasets into actionable insights through KPI reporting and data visualization to support business decision-making. Exposure to multiple domains including customer analytics, supply chain analysis, financial analytics, and retail sales.
Experience
Data Analyst Intern
Cleaned and processed datasets using Python, Excel improving data quality and usability for analysis., Designed interactive Power BI dashboards to track KPIs and business metrics., Performed exploratory data analysis (EDA) to identify trends and generate actionable insights., Presented insights to support data-driven business decision-making.
Data Analyst Intern
Cleaned and processed datasets using Python and Excel, improving data quality and usability for analysis.
Designed interactive Power BI dashboards to track KPIs and business metrics.
Performed exploratory data analysis (EDA) to identify trends and generate actionable insights.
Presented insights to support data-driven business decision-making.
Company Trainee & Graduate Apprentice
Optimized product master data (500K records) using SAP MM and Excel, reducing redundancy to approximately 200K–250K standardized codes.
Conducted end-to-end data analysis for pump projects (WK/WL, KWP, RPH), ensuring accuracy and alignment with business requirements.
Analyzed historical product and spare parts data to support product strategy decisions.
Built advanced Excel models and validated large datasets (100K+ records) for accurate configuration and testing of structured product codes.
Company Trainee & Graduate Apprentice
Optimized product master data (500K records) using SAP MM and Excel, reducing redundancy to ~200K–250K standardized codes., Conducted end-to-end data analysis for pump projects (WK/WL, KWP, RPH), ensuring accuracy and alignment with business requirements., Analyzed historical product and spare parts data to support product strategy decisions., Built advanced Excel models and validated large datasets (100K+ records) for accurate configuration and testing of structured product codes.