Kajal Mishra

Experienced Data Engineer with 2+ years of tenure at Tranzita Systems, collaborating on projects with global companies like Procter Gamble (PG). Power BI Developer in data infrastructure, adept at leading projects utilizing Python, Pandas,SQL, Power BI, and Azure Function Apps. Expertise includes Excel automation with Pandas and developing Power BI dashboards enriched with KPIs. Pursuing collaborative team roles to deliver impactful solutions,enhance efficiency, and apply expertise in dynamic data-driven environments..

• English
• Hindi

Duration: April 2023 – August 2024

• Automated Excel file generation for OSA initiatives using Python, SQL, Pandas, and Azure Function Apps, streamlining the process of Root Cause Analysis (RCA).
• Enabled accurate business loss forecasting and potential risk identification through integrated data analytics and automation.
• Improved supply chain efficiency by ensuring precise RCA calculations, facilitating robust decision-making and risk mitigation.
• Technologies Used: Python, Pandas, SQL, Azure Data Factory, Function Apps, Power BI, Advanced Excel.

Duration: October 2022 – April 2023

• Developed a unified platform for 71 countries, enabling employees to submit requests and communicate effectively with HR Shared Services (HRSS).
• Enhanced HRSS responsiveness and resolution by streamlining employee queries and requirements through the platform.
• Focused on improving global HRSS communication efficiency and employee satisfaction.

Duration: January 2023 – April 2023

• Designed and deployed a dashboard to replace manual Excel-based workflows, automating the approval process for integrating new products into the company's offerings.
• Facilitated easy updates to product attributes (e.g., name, price, weight, category) while maintaining data integrity through an approval-based workflow.
• Significantly enhanced operational efficiency by digitizing and streamlining product modification processes.

Duration: May 2022 – September 2022

• Automated maintenance processes, including job ticket management, labor confirmation, and maintenance order completion, reducing manpower and paperwork.
• Ensured compliance with record retention policies by storing task records directly in SAP through integration with RPA, Power Apps, SharePoint, and Power Automate.
• Streamlined maintenance workflows to enhance operational efficiency and minimize manual intervention.

Python, SQL, Pandas, Azure Function Apps, Azure Data Factory, Power BI, SAP, RPA, Power Apps, SharePoint, Power Automate, Advanced Excel.