Olga Kavvada - Machine Learning Data Scientist Expert

Olga Kavvada

Machine Learning Data Scientist Expert

Sunnyvale, California, United States

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Summary

👤

Senior

🎓

Top School

Olga Kavvada is a Machine Learning Data Scientist Expert with a decade of experience applying spatial analysis, geospatial data science, and systems-level modeling to energy and environmental engineering problems. With a Ph.D. from UC Berkeley and research roles at Berkeley Lab and ENGIE Lab CRIGEN, she builds decision-support tools that combine optimization, lifecycle assessment, and machine learning to guide infrastructure siting and resource management under climate constraints. She has deep practical expertise in vector and raster data pipelines, databases (Postgres), and productionizing models—work exemplified by contributions to Mapzen/Tilezen’s vector-datasource improving geospatial data quality and SQL migrations. Based in Sunnyvale, she now brings this blend of research rigor and software engineering to Pacific Gas and Electric Company, focusing on resilient energy and water systems. Notably, her background spans both engineering field projects and advanced algorithm development, enabling solutions that bridge local GIS realities and system-scale optimization.

10 years of coding experience

7 years of employment as a software developer

Doctor of Philosophy (Ph.D.) Civil and Environmental Engineering, Doctor of Philosophy (Ph.D.) Civil and Environmental Engineering at University of California, Berkeley

Undergraduate Diploma Surveying Engineering, Undergraduate Diploma Surveying Engineering at National Technical University of Athens

English, Greek

Github Skills (11)

vector-tiles10

postgresql10

sql10

data-engineering10

pg9

pgsql9

psql9

openstreetmap9

plpgsql9

python8

geojson7

Programming languages (3)

TypeScriptHTMLPython

Github contributions (5)

tilezen/vector-datasource

Jul 2016 - Aug 2016

Tilezen vector tile service - OpenStreetMap data in several formats

Role in this project:

Back-end & Data Engineer

Contributions:264 commits, 48 PRs, 160 pushes in 1 month

Contributions summary:Olga primarily contributed to data validation and processing tasks within the Tilezen vector tile service. They focused on improving the accuracy of the data by correcting feature classifications (e.g., urban areas, barriers, and campgrounds) and integrating new data (e.g. bridleways). The user also implemented database migrations and updated SQL functions, demonstrating expertise in data management and database design. Their changes reflect a focus on improving data quality and ensuring the system's ability to correctly render geographical features.

pythonfltkmap-editortilesetmapzen

okavvada/LCA_model_LBL_old

Dec 2017 - Dec 2023

Contributions:92 pushes, 1 branch in 6 years

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