Prajvi Sharma
Associate Ecologist I
India
Summary
🤩
Rockstar🎓
Top SchoolPrajvi Sharma is an environmental scientist with seven years of applied research and field experience, currently working as an Associate Ecologist at AiDash after a Project Fellow role at the G.B. Pant National Institute of Himalayan Environment. She holds a BSc (Hons) in Horticulture and an MSc in Environmental Science with top grades, and has qualified UGC NET and GATE in her field. Her work spans sustainable solutions from microalgae cultivation to ecological monitoring, and she has authored several research publications while others are in progress. Unusually for an ecologist, she has contributed backend code to an open-source data visualization project (Makie.jl), extending support for geometric primitives—highlighting a knack for blending ecological insight with technical tooling. Eager to drive practical, data-informed conservation strategies, she focuses on balancing ecological preservation with sustainable development.
6 years of coding experience
B.Sc Hons, Horticulture, 8.8, B.Sc Hons, Horticulture, 8.8 at Dr Yashwant Singh Parmar University of Horticulture and ForestryM.Sc, Environmental Science, 9.2, M.Sc, Environmental Science, 9.2 at Central University of Himchal Pradesh93.8 % in 12th, 93.8 % in 12th at DAV Centenary Public School Mandi Himachal Pradesh
English, Hindi, Sanskrit
Github Skills (7)
data-structures10
plot10
graphic10
data-structure10
julia10
testing9
gpu4
Programming languages (11)
Github contributions (5)
MakieOrg/Makie.jl
Jul 2020 - Aug 2020
Interactive data visualizations and plotting in Julia
Role in this project:
Backend Developer
Backend DeveloperContributions:8 commits, 4 comments, 5 issues in 18 days
Contributions summary:Prajvi focused on extending the `makie.jl` library, specifically by adding support for geometric primitives like `LineString`, `MultiLineString`, `Polygon`, and `MultiPolygon`. Their contributions involved modifying existing code to accommodate these new types, including overloads for `convert_arguments` and `plottype` functions. Additionally, the user added tests to verify the correct functionality of the new geometric features within the visualization library.
julia-languagegpuvisualizationsdata-visualizationplotting
Sov-trotter/Javis.jl
Oct 2020 - Oct 2022
Julia Animations and Visualizations
Contributions:34 PRs, 200 pushes, 16 branches in 2 years
julia-languagevisualizationsjuliaanimationsvisualization
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