Summary
Overview
Work history
Education
Skills
Accomplishments
Project
Data Visualisation Training
Volunteering
Languages
Timeline
Generic

Aseem Shaikh

London

Summary

I am a dedicated Spatial Modeller at UKCEH with a robust foundation in GIS and urban data science. I excel in transforming complex spatial data into clear, strategic narratives with extensive experience in modelling. My proven expertise in Python, R, SQL, and a suite of GIS platforms empowers me to drive impactful decisions, optimize data visualizations, and communicate sophisticated analyses to diverse stakeholder groups.

Overview

9
9
years of professional experience
6
6
years of post-secondary education

Work history

GIS Spatial Modeller

UKCEH
Bangor, United Kingdom
11.2024 - Current

Carbon Model: Employed Random Forest regression to train the carbon model to predict above ground biomass, with GEDI biomass as the dependent variable, achieving an R² value of 77% accuracy.
• Tools: Google Earth Engine, Python, QGIS

Data Science and Digital Twin Specialist Intern

Slingshot Simulations
Leeds, United Kingdom
12.2023 - 03.2024
  • Developed an API to seamlessly integrate data from Roger Steven’s Pond sensor with the Compass: Engine™ platform, ensuring real-time data connectivity.
  • Designed and implemented an analytic model to forecast future pond state outcomes based on historical sensor data, enhancing predictive environmental monitoring.
  • Tools: Python, API development, data visualisation platforms.

(Output: https://projects-pond.d12vezg9i9v6xv.amplifyapp.com/)

Senior GIS Analyst

Marron Institute - NYU/UXO
Panvel, India
02.2020 - 08.2023
  • Urban Expansion Studies: Spearheaded the application of unsupervised learning algorithms as part of the NYU Urban Expansion Program by analysing Landsat imagery and associated census data, providing insights into urban extent, population density, and built-up area fragmentation over four distinct time periods for 200+ cities. Tools and Skills: Leveraged PostGIS and SQL for efficient spatial database management, significantly improving data querying, and error handling of urban expansion metrics.
  • Stakeholder Engagement: Collaborated with research scholars to produce comprehensive reports, detailed maps, and interactive visualisations using Tableau, effectively communicating critical urban growth trends to policymakers.


GIS Analyst (Marron NYU) (02/2017 – 1/2020)

  • Climate Adaptation Cities: Analysed digital elevation models (DEMs), contour maps, and watershed data using QGIS to inform sustainable urban planning and climate adaptation strategies for Grenville.
  • Mapping Urban Layouts: Extracted urban features such as block layouts, road networks, and different stages of the housing sector for cities.

Intern - Transport Modelling

Maharashtra Remote Sensing Applications Centre
Pune, India
02.2016 - 07.2016
  • Employed ArcMap Network Analyst to construct transport model for Pune city, incorporating traffic patterns and peak travel times into the model to provide dynamic, user-friendly information.

Education

Master of Science - Urban Data Science And Analytics

University of Leeds
09.2023 - 09.2024

Master of Science - Geoinformatics

Bharati Vidyapeeth University
07.2014 - 05.2016

Bachelor of Science - Physics

Mumbai University
06.2009 - 05.2012

Skills

    Programming & Technical Proficiencies
    Python (Pandas, NumPy, Scikit‑Learn), R, SQL
    GIS platforms including ArcGIS, QGIS, GEE
    Database management with PostgreSQL and PostGIS
    Familiarity with version control using Git


    Data Analytics & Machine Learning
    Predictive modeling, and time series forecasting
    Machine learning techniques (Random Forest regression, unsupervised learning, sentiment analysis)


    Data Visualisation & Reporting
    Expertise in developing dynamic visualisations and dashboards using Tableau and custom Python tools


    Professional & Soft Skills
    Technical leadership, project management, and effective stakeholder engagement
    Strong written and oral communication, strategic planning, and problem-solving abilities
    Adept at multitasking, documentation, and delivering clear, impactful presentations

Accomplishments

  • Best student project award ISG Pune chapter (2016) SMART CITIES AND GEO-ICT INITIATIVE - GEOVISION 2016 by ISG
  • Presenter at The Business Insight Community of Practice, Northern Rail UK: Delivered a well-received presentation on the dissertation to professionals.

Project

Analyzing Trends and Forecasting Road Accident Severity in the UK

  • Identified the influence of exogenous factors such as age, gender, location, month, year, weather, and time of day on accident probability and forecasting both trends and seasonal variations in severity using time series model , providing actionable insights for targeted safety campaigns and resource allocation.
  • Skills: Python, SARIMAX, Random Forest, Statistical analysis.


Planning Application Report Using Gen AI: 

  • Utilised the ChatGPT API to automatically generate a comprehensive planning application report in Leeds within 250 meters of a given property, crucial for conveyancers and potential homebuyers to assess development impacts.
  • Skills: Python, API integration (ChatGPT API), Data Processing, Report Automation.


Consumer Segmentation and Catchment Area Analysis (Dissertation- Northern Rail)

  • Conducted a spatial analysis of visitors at major Northern Rail train stations, where spectral and k-means clustering techniques applied to segment profiles.
  • Defined catchment areas and examined spending patterns, enabling the development of tailored retail strategies that enhance station profitability and passenger experience.
  • Skills: GIS, Python, Spectral, k-means Clustering, Spatial Analysis, Data Analytics

Data Visualisation Training

Selected as a mentee in the Data Visualisation Society Mentorship Program, led by Michail, to develop skills in business-oriented data storytelling using Tableau.

Volunteering

  • HOTOSM Events: Guided non-technical participants in mapping and geospatial tasks, contributing to humanitarian open mapping projects.
  • Wheeling Accessibility in Leeds: Collected and mapped over 1,400 data points on street barriers and supporting infrastructure to improve accessibility in Leeds.

Languages

English(Fluent), Hindi(Native), Marathi(Native), Arabic(Intermediate)

Timeline

GIS Spatial Modeller

UKCEH
11.2024 - Current

Data Science and Digital Twin Specialist Intern

Slingshot Simulations
12.2023 - 03.2024

Master of Science - Urban Data Science And Analytics

University of Leeds
09.2023 - 09.2024

Senior GIS Analyst

Marron Institute - NYU/UXO
02.2020 - 08.2023

Intern - Transport Modelling

Maharashtra Remote Sensing Applications Centre
02.2016 - 07.2016

Master of Science - Geoinformatics

Bharati Vidyapeeth University
07.2014 - 05.2016

Bachelor of Science - Physics

Mumbai University
06.2009 - 05.2012

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Aseem Shaikh