Über Nidhi Keshri
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Academic Level Master’s Degree
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Age 28 - 32 Years
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Salary 3868
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Gender Female
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Industry Development
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Gesehen 11
Über mich
At Siemens Healthineers, I built Power BI dashboards and automated workflows using Power Automate and VBA.
My past roles at Accenture and Capgemini focused on ETL/ELT pipelines, SQL and data visualization using Power BI and Tableau.
With strong skills in ML, NLP and automation, I am eager to contribute, grow as a data analyst and drive business impact.
I am available to start immediately.
Bildung
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2023 - 2025
SRH Hochschule, Heidelberg, Germany
Master in Applied Data Science and Analytics
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2015 - 2019
GL Bajaj Institute of Technology and Management, Greater Noida, India
Bachelor of Technology in Information Technology
Erfahrung
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2024 - Gegenwart
Siemens Healthineers AG, Forchheim, Germany
Data Analyst Work Student
Developed interactive Power BI dashboards with real-time data updates, leading to a 30% improvement in reporting accuracy.
Automated repetitive data processing across 5+ sources using Excel, VBA and Power Automate, reducing manual effort by 90% and improving accuracy by 95%.
Devised optimized workflows in Power Automate integrated with Power BI and Excel, saving 5+ hours per week and improving response times by 20%.
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2021 - 2023
Accenture Solutions Private Limited, Bangalore, India
Data Engineering Analyst
Visualized Snowflake data with 10+ Power BI dashboards using DAX, driving KPI insights and leading to a promotion to Power BI lead.
Engineered 15+ Wherescape ELT processes and improved data accuracy by 95% through SQL based transformations on Snowflake.
Collaborated on agile methodologies, contributing to sprint planning and retrospectives, enabling 95% on-time delivery of projects.
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2019 - 2021
Capgemini Technology Services Limited, Pune, India
Senior Software Engineer
Created robust SQL scripts to enhance data verification and validation in ETL transformations, achieving 95% data accuracy.
Built interactive Tableau dashboards, improving report accuracy by 25% and supporting decision-making.
Coordinated business requirements and validated database functionality, delivering 2 major data migration projects.
