Nandhini Lakuduva
Software Engineer 2 @ Microsoft | Azure AI Engineer Associate Microsoft Certified | Marketing Lead @ Redmond Tech Orchestra | #AI #ML #Data #dataengineering
- Role
- Software Engineer 2 at Microsoft
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Nandhini Lakuduva
I am Nandhini Lakuduva, a Software Engineer 2 with a deep-seated passion for big data, data science, and machine learning engineering. My extensive experience in building and managing large data pipelines has equipped me with robust skills in experimentation, data engineering, and analytics. I pursued my academic aspirations at the University of Texas at Austin, where I obtained a Master\'s Degree in Computer Science, with a focus on statistics and natural language processing (NLP).My dedication to machine learning doesn\'t stop at academia; I have achieved AI Certifications and make it a point to stay updated with the latest developments by reviewing research papers and attending conferences. This commitment to lifelong learning is a testament to my expertise and enthusiasm for the field.As we embark on a new era, I am thrilled about the transformative impact of data and machine learning. I am eager to play a part in and experience the revolution that these technologies will usher in, altering the future of data interaction and utilization in all facets of life. My forward-thinking mindset and extensive knowledge position me as a valuable contributor to the dynamic world of machine learning and data science.
Experience
Software Engineer 2
Nov 2021 — Present · Redmond, WA, US
SME for building data platforms that ingests and processes multiple data sources in Azure Data Lake Services/Cosmos using SCOPE scripts and Azure Data Factory where we can run batch jobs to condense big data for PowerBI to visualize. Worked on optimally scaling up the platform to include larger data sets while reducing computational costs by 3:1 relative to data size growth. Refactored scorecard pipelines by enhancing the ease of access, and speed of scorecard generation and reducing the likelihood of SRMs by 70%.
Education
The University of Texas at Austin
Bachelor’s Degree, Computer Science
2015 — 2019
The University of Texas at Austin
Master's Degree, Computer Science
2018 — 2020
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