RENA SHEREEF

Wellcome Trust Project

• Building Typology of the buildings in the urban areas to identify congested, well spaced and planned areas to take into account the comfort of living in the region.
• Collaborated on interdisciplinary projects, fostering partnerships that promoted knowledge sharing and innovation within the urban informatics space.

Climate Change and Local Adaptation Pathways Project

• Automation of urban area splitting based on the count of buildings in the region using DL model to get an equal count of buildings in each survey block.

CMDA City Planning Project

• Planning survey locations based on specific parameters through density mapping.
• Developed wealth index maps using ground truth GPS data and machine learning models.
• Utilized GTFS data and the RAPTOR algorithm to analyze public transport accessibility.
• Mapping flooding of the Pallikaranai region to assess waterlogging and risk areas.
• Created satellite imagery-based time-lapse videos to track urban encroachment on lakes.

A Labour, Employment, and Skill Perspective to Local Project

• Analysing and mapping work skill data spatially for Kerala.

FieldMapX Project

• Field survey related WebGIS application

Youth Index Project

• Mapping district level shapefiles across different census years to the current assembly and parliamentary constituencies using LGD dataset.
• Identification of the district split and merge across India.
• Analyzing all India library dataset.

Settlement-Level Impact Analysis of Industrial Development in Karnataka Project

• Analyzed decadal changes in LST, groundwater, land use, PM2.5 risk zones, and socio-economic factors using spatial databases.
• Collected and processed data from census, satellite imagery (Landsat, MODIS via GEE), and government sources.
• Automated data extraction, integration, and workflows using APIs, Selenium, and Model Builder.
• Conducted accuracy testing of datasets and extracted spatial insights using GEE (JavaScript), Python (parallel processing), and PostGIS.
• Developed spatio-temporal indicators, regression models, and visualized trends with statistical plots and time-lapse videos.

Study of Seasonal and Spatial Variation of Cloud Radiative Forcing Project

• Analyzing decadal climate data related to energy budget, cloud type concentration and upper tropospheric humidity by drawing the relevant time series.
• Creating plots and correlation checks for the analysis of close relationships between clouds and the radiation.
• Modelling and forecasting with simple regressions.
• Here are eight resume experience statements for the role of Project Student at the Advanced Center for Atmospheric RADAR Research, CUSAT, Kochi: