Description:

• What is Geospatial data?
  • Data involving location information. Analysis can help in understanding relationships between geographic attributes and any other metrics data
    • Why is this relavant?
  • In the era of analytics, everything is numbers. This is also era of hyperlocal businesses like Instamart, Bigbasket, Blinkit. Where ecommerce supplies product to nearby neighborhood area like within 5km.
    • How is this talk different than previous talks on same topic?
  • This talk will cover business case study of how geodata is processed and can be used by a company for Selecting locations for opening new stores using python
    • This is begineers talk for data analysts and data scientists
    • Outline of talk:
  • Basics of geospatial data format
  • Creating a point geometry from latitude and longitude
  • Creating buffer area around a point for trade analysis
  • Visualizing geospatial data using folium
  • Join operation between two spatial dataframes for intersecting points
    • Key take aways:
  • We introduces the concept of geospatial analysis, geopandas and other resourceful open-source python spatial libraries.
  • Talk wil cover common spatial operations like creating geometry points, creating buffer areas, spatial joins, and visualizing geospatial data on maps
    • Outline of talk:
  • Basics of geospatial data format
  • Creating a point geometry from latitude and longitude
  • Creating buffer area around a point for trade analysis
  • Visualizing geospatial data using folium
  • Join operation between two spatial dataframes for intersecting points

Prerequisites:

This talk is beginner level. It is beneficial for data analyst, data scientist & anyone knowing python

Video URL:

https://youtu.be/Xbst8yWs0oc

Content URLs:

Deck: https://github.com/soniran/pycon-india2024/blob/main/Geospatial%20Data%20Visualization%20%26%20Processing%20with%20Python-SoniyaRangnani.pdf

Speaker Info:

• Soniya Rangnani is Senior Data Scientist of 8 years of experience in AI/ML field. She has worked for reputed companies like Microsoft .
• She is published author for International ML Conferences & alumni of Indian Institute of Science, Bangalore.
• he is currently working with US Startup PriceLabs; working on relevant AI/ML problems like dynamic price recommendation.
• She has successfully designed, built & maintained many ML systems in the space of information retrieval systems like recommendation systems, ad-ranking model, NLP text matching algorithms, title-text generation using LLMs on cloud-based tech stack.

• She is active member of GDG Pune & WTM communities

  Profile link: https://www.linkedin.com/in/soniya-rangnani-1509a36b/

Speaker Links:

https://www.linkedin.com/feed/update/urn:li:activity:7187333376796737537?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A7187333376796737537%29