About

As a Supply Chain Data Analyst at SGF Global, I specialize in transforming complex datasets into actionable insights that streamline operations and drive business growth. Leveraging my expertise in Power BI and Python, I create robust data visualizations and statistical analyses that inform strategic decisions.

With a solid foundation in Data Sciences from LEAD University, my approach is rooted in precision and a passion for continuous improvement. I thrive in dynamic environments where my analytical skills contribute to enhancing processes and service delivery. Looking ahead, I am eager to further refine my skills and take on more challenging projects that push the boundaries of data-driven decision-making.

Experience

1. August 2022 - August 2024

   Data Analyst @ SGF Global

   • Implementation of forms and automations with Power Apps and Power Automate.
   • Support for Power BI and Tableau reports.
   • Report creation and infrastructure with Power BI and Microsoft SQL Database. Implemented SQL scripts to extract data for analysis.
   • Utilized Excel and Python to perform statistical analysis on survey responses.
2. May 2021 - March 2022

   Data Specialist @ DHL

   • Creation of a database infrastructure to store all the data of the America's DHL Service Desk.
   • Analysis of KPIs of the agents for the improvement of the performance and remuneration obtained from the DHL Service Desk for the Americas region.
   • Synthesize large amounts of data into an easy-to-understand report/dashboards and recommend points for improvement at the DHL Service Desk using Python and Microsoft Power BI.
   • Conducted extensive analysis of customer data to identify trends. Utilized SQL to clean and organize data for analysis.
   • Created data visualizations to communicate findings to stakeholders. Wrote SQL queries to pull data for ad-hoc analysis.
3. October 2019 - April 2021

   Data Analyst @ Intel Corporation

   • Created and ran SQL queries to collect data for analysis.
   • Conducted exploratory data analysis to identify patterns and trends.
   • Wrote Python scripts to automate data collection and analysis. Modeled future processor architectures and analyzed behavior to find improvement points.
   • Visualize the data collected using Excel and Microsoft Power BI tools.
   • Presented findings to upper management to inform business decisions.
   • Developed and implemented a new data analysis process.
   • Developed a new reporting methodology using Microsoft Power BI.