About Me
About Me
I'm Purna Sati Chandrala, a passionate data scientist and geospatial expert based in Bonn, Germany. I hold a Master's degree in Geoinformation and Spatial Development from the University of Bonn.
With a background in Civil Engineering and extensive experience in machine learning, GIS, and data management, I bring a unique blend of skills to the table. My journey in the field started with a Bachelor's in Civil Engineering from JNTU Kakinada, India.
Throughout my academic and professional career, I have excelled in various roles, including Data Scientist at the University of Jena, Spatial Data Analyst at GESIS - Leibniz-Institut für Sozialwissenschaften, and Graduate Research Assistant at Ruhr-Universität Bochum. My work involves utilizing technologies such as OpenCV, Python, GIS libraries (ArcGIS, QGIS, GDAL), and machine learning frameworks (TensorFlow, Keras, PyTorch).
Skills
My Portfolio
Using Machine Learning and Artificial Neural Networks for Analysis of Cologne Residential Land Market
Master Project, MSc GIS and Spatial Development
April 2020 - April 2021
Made predictive data analysis using regression analysis and artificial neural networks. Improved the accuracy of model prediction from 48% to 63%.
Visualization of Travel Time Maps of Bonn
Location-Based Services, MSc GIS and Spatial Development
April 2020 - Aug 2020
Developed an Android Application for travel time maps in Bonn. Analyzed the streets of Bonn using ArcGIS.
Developing a Geoinformation System for Interdisciplinary Research Data Management
Data Management for Interdisciplinary Research, MSc GIS and Spatial Development
September 2020 - February 2021
Provided solution for Research Data Management using GIS, RDF Database, and SQL. Developed an ontology for metadata and wrote SPARQL queries.
Work Experience
Data Scientist - University of Jena
Jan 2023 - June 2023
Utilized OpenCV and Python for map restoration, enabling image segmentation tasks. Conducted a study on image stitching algorithms, enhancing map repair processes.
Spatial Data Analyst - GESIS - Leibniz-Institut für Sozialwissenschaften
May 2021 - Current Job
Digitized and classified scanned land use maps of 1940s. Georeferenced old maps using QGIS and prepared training manuals. Communicated with researchers from over 10 different countries about data usage agreements.
Graduate Research Assistant - Ruhr-Universität Bochum
Jan 2022 - Nov 2022
Developed data pipelines to download Sentinel-1 and 2 satellite data into the data lake using Python. Created UI designs for the company’s website and performed data analysis to create visualizations.