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Data Engineer with 1+ years in GIS & Data Analytics
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As a data analytics and geoinformatics professional, I have hands-on experience in GIS, risk analysis, and environmental data modeling. I have worked extensively with geospatial datasets, automating workflows using Python, and implementing real-time monitoring solutions. My experience also includes data analysis, prediction modeling, and visualization, leveraging Python, GIS tools, and data integration techniques. With a strong analytical mindset and problem-solving skills, I am eager to contribute to data-driven projects across various domains, including geospatial analysis, risk assessment, and broader data analytics applications.
DIGITAL UNIVERSITY KERALA
MSc Data Analytics & Geoinformatics · Data Analytics & Geoinformatics
January 1, 2022 – January 1, 2024
FATIMA MATA NATIONAL COLLEGE
BSc Mathematics · Mathematics
January 1, 2018 – January 1, 2021
TRINITY LYCEUM ISC SCHOOL
12th Grade
January 1, 2016 – January 1, 2018
EigenRisk Inc.
Data Engineer – GIS Dept.
August 1, 2024 – March 1, 2025
India
Greater Cochin Development Authority (GCDA)
Data Anayst Intern – Planning Dept.
February 1, 2024 – July 1, 2024
Cochin, Kerala, India
Indian School of Business
Data Analyst Intern – GIS
November 1, 2023 – July 1, 2024
Hyderābād, Telangana, India
Analysis and Prediction of Pollution in Periyar River
February 1, 2024 – July 1, 2024
This project aims to forecast the pollution levels of the Periyar river within the study area of Ernakulam district, which involves analyzing various pollution parameters and provide insights into pollution trends.
Stream Flow Rejuvenation through OpenStreetMap
September 1, 2023 – September 1, 2023
This project focuses on reinvigorating the natural flow of streams by harnessing the collaborative power of OpenStreetMap. It involves comprehensive mapping and analysis of waterways to enhance their functionality and sustainability.
Vegetation Health Monitoring and Prediction Using AI
August 1, 2023 – September 1, 2023
This project underscores the transformative potential of Deep Learning, particularly the Conv-LSTM model, in the realm of NDVI prediction.
Google Cloud Career Readiness Associate Cloud Engineering Track
Unknown
June 1, 2026 – Present
Data Science with Python
Skill UP
June 1, 2026 – Present
Online Training on GIS mapping for Disaster Mitigation and Risk Reduction
NIDM
June 1, 2026 – Present
Classifying Objects Using Deep Learning in ArcGIS Pro
ESRI Online
June 1, 2026 – Present
Certificate of completing a six-day national level online workshop on “Programming Essentials for Mathematics using Python”
CHRIST (Deemed to be University), Bangalore
June 1, 2026 – Present
Certificate of completing a comprehensive two-day workshop on ArcGIS Online and ArcGIS Enterprise
ESRI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in environmental and geospatial data, which aligns with roles requiring a focus on real-world impact and data-driven solutions. The diversity of projects (pollution prediction, vegetation health, stream rejuvenation) indicates adaptability and a broad interest in applying data analytics. The certifications, including Google Cloud and various GIS workshops, show a commitment to continuous learning and professional development, which is a positive cultural indicator. However, the experience level is entry-level, and the projects are primarily academic, which might require mentorship in a fast-paced industry setting.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Team Collaboration, Leadership, Problem Solving, and Time Management. These are valuable for operational fit in a data engineering role, which often requires working in cross-functional teams and managing project timelines. The project descriptions indicate an ability to work on complex problems and contribute to environmental management, suggesting a proactive and analytical approach.