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Kinga Stryszowska-Hill, Ph.D.

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I am an environmental scientist who loves to reveal the stories hidden in data. Data hold secrets, hidden just beneath the surface, and I work to find those insights and share them visually and verbally. As a scientist, I am a natural analyst and answer seeker. Having data at my fingertips makes me feel giddy because I can dive in to explore patterns and causes. I am in the zone when I am coding, mapping, or visualizing something. As a multifaceted data scientist, with an aptitude for data storytelling, I explore questions, wrangle data, build models, and communicate results. ๐ŸŸก I translated complex technical data products into simple and engaging stories that were featured at 10+ conferences, used to onboard new employees, generated 60+ sales leads, and incorporated into marketing email campaigns for 6,000 viewers. ๐ŸŸก I built a patent-pending community flood risk and resilience product using R programming and spatial analysis, which enabled 50+ towns to prioritize climate resilience planning. ๐ŸŸก I informed a federal wetland restoration program by elegantly visualizing over 1 million water level measurements, which improved the management of 250 wetland projects. โ„ณ๐“Ž โ„ด๐“Œ๐“ƒ ๐“ˆ๐“‰โ„ด๐“‡๐“Ž started over two decades ago when, as a kid, I experienced an abrupt transition by moving from rural Poland to urban NYC. This move set me on a long and beloved path of environmental stewardship. Today, I combine years of research experience in the natural sciences to solve impactful environmental challenges. I am a mom of 3 girls and I take pride in being a female scientist, data geek, and a PhD. ๐——๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐˜€๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜‹๐˜ข๐˜ต๐˜ข ๐˜ค๐˜ฐ๐˜ญ๐˜ญ๐˜ฆ๐˜ค๐˜ต๐˜ช๐˜ฐ๐˜ฏ, ๐˜ค๐˜ญ๐˜ฆ๐˜ข๐˜ฏ๐˜ช๐˜ฏ๐˜จ, ๐˜ฆ๐˜น๐˜ฑ๐˜ญ๐˜ฐ๐˜ณ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ, ๐˜ท๐˜ช๐˜ด๐˜ถ๐˜ข๐˜ญ๐˜ช๐˜ป๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ ๐˜š๐˜ต๐˜ข๐˜ต๐˜ช๐˜ด๐˜ต๐˜ช๐˜ค๐˜ข๐˜ญ ๐˜ข๐˜ฏ๐˜ข๐˜ญ๐˜บ๐˜ด๐˜ช๐˜ด ๐˜Œ๐˜น๐˜ฑ๐˜ฆ๐˜ณ๐˜ช๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต๐˜ข๐˜ญ ๐˜ฅ๐˜ฆ๐˜ด๐˜ช๐˜จ๐˜ฏ ๐˜”๐˜ข๐˜ค๐˜ฉ๐˜ช๐˜ฏ๐˜ฆ ๐˜ญ๐˜ฆ๐˜ข๐˜ณ๐˜ฏ๐˜ช๐˜ฏ๐˜จ (๐˜ณ๐˜ฆ๐˜จ๐˜ณ๐˜ฆ๐˜ด๐˜ด๐˜ช๐˜ฐ๐˜ฏ, ๐˜ค๐˜ญ๐˜ข๐˜ด๐˜ด๐˜ช๐˜ง๐˜ช๐˜ค๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ, ๐˜ณ๐˜ข๐˜ฏ๐˜ฅ๐˜ฐ๐˜ฎ ๐˜ง๐˜ฐ๐˜ณ๐˜ฆ๐˜ด๐˜ต, ๐˜ต๐˜ช๐˜ฎ๐˜ฆ ๐˜ด๐˜ฆ๐˜ณ๐˜ช๐˜ฆ๐˜ด) ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—ฐ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜™ ๐˜ฑ๐˜ณ๐˜ฐ๐˜จ๐˜ณ๐˜ข๐˜ฎ๐˜ฎ๐˜ช๐˜ฏ๐˜จ ๐˜ญ๐˜ข๐˜ฏ๐˜จ๐˜ถ๐˜ข๐˜จ๐˜ฆ (๐˜ต๐˜ช๐˜ฅ๐˜บ๐˜ท๐˜ฆ๐˜ณ๐˜ด๐˜ฆ, ๐˜ฑ๐˜ญ๐˜ฐ๐˜ต๐˜ญ๐˜บ, ๐˜จ๐˜จ๐˜ฑ๐˜ญ๐˜ฐ๐˜ต2, ๐˜ณ๐˜ข๐˜ด๐˜ต๐˜ฆ๐˜ณ, ๐˜ด๐˜ง, ๐˜ด๐˜ต๐˜ข๐˜ณ๐˜ด, ๐˜ญ๐˜ฆ๐˜ข๐˜ง๐˜ญ๐˜ฆ๐˜ต, ๐˜ง๐˜ญ๐˜ฆ๐˜น๐˜ฅ๐˜ข๐˜ด๐˜ฉ๐˜ฃ๐˜ฐ๐˜ข๐˜ณ๐˜ฅ๐˜ด) ๐˜Ž๐˜ช๐˜ต ๐˜Œ๐˜š๐˜™๐˜ ๐˜ฑ๐˜ณ๐˜ฐ๐˜ฅ๐˜ถ๐˜ค๐˜ต๐˜ด (๐˜ˆ๐˜ณ๐˜ค๐˜Ž๐˜๐˜š ๐˜—๐˜ณ๐˜ฐ, ๐˜ˆ๐˜ณ๐˜ค๐˜Ž๐˜๐˜š ๐˜–๐˜ฏ๐˜ญ๐˜ช๐˜ฏ๐˜ฆ, ๐˜Ž๐˜๐˜š ๐˜‹๐˜ข๐˜ด๐˜ฉ๐˜ฃ๐˜ฐ๐˜ข๐˜ณ๐˜ฅ๐˜ด, ๐˜š๐˜ฑ๐˜ข๐˜ต๐˜ช๐˜ข๐˜ญ ๐˜ˆ๐˜ฏ๐˜ข๐˜ญ๐˜บ๐˜ด๐˜ต) ๐˜˜๐˜Ž๐˜๐˜š (๐˜Ž๐˜™๐˜ˆ๐˜š๐˜š ๐˜Ž๐˜๐˜š) ๐˜Œ๐˜น๐˜ค๐˜ฆ๐˜ญ (๐˜—๐˜ฐ๐˜ธ๐˜ฆ๐˜ณ ๐˜˜๐˜ถ๐˜ฆ๐˜ณ๐˜บ, ๐˜ฑ๐˜ช๐˜ท๐˜ฐ๐˜ต ๐˜ต๐˜ข๐˜ฃ๐˜ญ๐˜ฆ๐˜ด) ๐˜›๐˜ข๐˜ฃ๐˜ญ๐˜ฆ๐˜ข๐˜ถ ๐˜š๐˜˜๐˜“ I'm always excited to hear from fellow data enthusiasts, moms, and women PhDs so feel free to reach out to me here or at [email protected]

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