Fraunhofer IEE · Offshore
Offshore wind & hydrogen
GIS site selection that finds where wind farms and hydrogen hubs should stand in German waters.
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Who I am
I started my career with a strong foundation in IT and data systems, where I worked on structured data, automation, and system reliability. Over time, I realised I wanted to apply these skills to more meaningful, real-world problems, which led me to transition into energy systems.
Today I work in two places: as a Research Assistant at Fraunhofer IEE, on urban energy demand, 3D city data and offshore wind and hydrogen planning, and as a Student Research Assistant in the Energy Systems Technology group at Paderborn University, on industrial energy data.
I see myself as someone who uses data and analytical methods to understand and improve energy systems, especially where spatial data and infrastructure planning come together. My goal is to apply data-driven approaches to support efficient infrastructure development and contribute to the energy transition.
Where I'm headed
What excites me most is what comes next: bringing AI into the energy transition. Models that learn where wind parks should stand, forecast how cities and factories consume heat, and help the grid make decisions faster than people can. That's the work I want to spend the next decade on.
5+
Years in engineering & data
5
Research projects at Fraunhofer IEE
4
Energy domains: wind, hydrogen, heat, industry
2
Research institutions: Fraunhofer IEE & Paderborn University
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What I work on
Three scales of the energy transition: the sea, the city and the factory.
Fraunhofer IEE · UrbanTwin
Urban heat demand
Validating building data and heat demand across German municipalities with 3D city models.
Paderborn University · EST
Industrial energy
Bringing industrial energy data together, from demand to waste heat potential, on one interactive map.
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How I work
Offshore site selection, the way I build it at Fraunhofer IEE. Scroll to run the model.
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Where I've worked
Newest first. Open a role to see the projects behind it.
Industrial Energy Data
Under Prof. Dr.-Ing. Henning Meschede · industrial energy systems, data engineering and digitalisation
- Bringing together industrial energy data from different sources, including energy demand, energy use and waste heat potential.
- Integrating the datasets and checking their reliability and consistency.
- Building an interactive map where researchers can explore the data and identify opportunities for industrial energy transformation.
Project V — 3D CityDB
Database migration for 3D city models
- Migrated 3D city model data from one 3D CityDB database to another.
- Checked the imported data for completeness and consistency after the transfer.
Project IV — Offshore Wind
GIS-Based Offshore Energy Site Selection & Hydrogen Infrastructure Planning
Feb 2026 — Aug 2026
- Developed a GIS-based multi-criteria decision analysis (MCDA) framework to identify optimal locations for offshore wind and hydrogen energy hubs in German waters.
- Designed and implemented an exclusion mask model integrating marine constraints (shipping routes, protected areas, infrastructure) to define feasible energy deployment zones.
- Built a spatial suitability model combining wind resource, water depth and proximity to grid and ports to optimise generation and logistics efficiency.
- Integrated geospatial datasets (EMODnet, Copernicus, Global Wind Atlas) into a structured geodatabase for energy system analysis and decision support.
- Enabled planning use cases including offshore wind deployment, hydrogen production potential and grid integration strategies.
- Developed a scalable GIS workflow (exclusion → filtering → scoring → hotspot detection) supporting sustainable offshore energy infrastructure planning.
Project III — UrbanTwin
Heating Energy Demand Analysis & Building Data Validation
Aug 2025 — Jan 2026
- Developed a data validation and monitoring framework for urban building stock datasets, ensuring high-quality inputs for energy demand modelling and sustainability analysis.
- Designed and implemented Grafana dashboards visualising energy-relevant building metrics: heating energy demand distributions, usable floor area (Nutzfläche) and quality indicators across regions and building types.
- Analysed heating energy demand (kWh/m²a) distributions and benchmarked results against reference standards (IWU/DIN) to identify deviations and potential data inconsistencies.
- Performed geometry-based validation (LoD2) to improve energy model reliability, with checks on building volume, surface areas and derived parameters affecting thermal performance.
- Evaluated data completeness and quality across German municipalities (AGS level) to ensure spatial consistency for large-scale urban energy simulations.
- Built statistical validation pipelines (SQL + Python) to detect anomalies: missing values, extreme energy demand values and inconsistencies in building envelope data.
- Identified and visualised outliers and inefficiencies in building stock, supporting insights into energy performance variation across building types (EFH classes).
Project II — UrbanTwin
3D CityDB & Geospatial Data Analysis for Urban Energy Insights
Mar 2025 — Jul 2025
- Worked with 3D CityDB to manage and analyse large-scale 3D city models for urban energy exploration.
- Processed and validated CityGML datasets, enabling structured storage and efficient querying of spatial data.
- Performed spatial data analysis supporting urban planning and building-level energy insights.
- Contributed to data integration and visualisation workflows, supporting dashboards and spatial interpretation of urban datasets.
Project I — UrbanTwin
Geospatial Data Engineering for Energy and Sustainability Analytics
Dec 2024 — Mar 2025
- Designed and implemented relational database structures with primary and foreign key constraints to ensure data integrity across large-scale census datasets.
- Developed an automated Python pipeline for ingesting, validating and transforming multi-resolution geospatial data (100 m, 1 km, 10 km grids).
- Integrated regional administrative data (VG250) using ARS/AGS identifiers to enable spatial analysis for energy demand and population insights.
- Performed data quality checks and resolved foreign key inconsistencies, ensuring accurate linkage between grid-level and regional datasets.
Community & Design
Visual identity and social presence for GDG Paderborn events
- Designed event graphics, certificates, flyers and stickers for meetups and workshops.
- Created media designs supporting event promotion and community outreach.
- Managed the chapter's social media presence across Instagram and LinkedIn.
Full-stack scientific application
Interactive construction, visualisation and analysis of quantum graph states
- Built a browser-based application for constructing, visualising and analysing quantum graph states, with an interactive frontend and a high-performance computational backend.
- Implemented the backend in C++20 (Boost, Stim) exposed over HTTP via Drogon, and the frontend in Vue and TypeScript using graphology and sigma.js.
- Computed graph-theoretic and quantum properties including planarity, colourings, stabilisers, generation circuits, emitter count and Schmidt measure bounds.
- Developed a clustering-based local complementation heuristic for edge reduction that consistently outperformed a random LC baseline, validated through unit tests and benchmarks on Erdős–Rényi graphs.
- Packaged the full stack with Docker and CMake for reproducible builds.
Project — Michelin
MDO (Management, Demand, Order) · SPD (Supply, Planning, Deployment)
- Set up and captured E2E orders in the web portal (sync/async) from customer portals, BIB customer service and external ERPs.
- Resolved urgent SCPO-related issues and documented them in ServiceNow.
- Managed rejected orders, customer agreements, CAI, DOT info, financial documents and order portfolios.
- Daily monitoring using SPLUNK dashboards, GSX and XITI tooling.
- Worked across EDI, Salesforce, SPLUNK, KAFKA and Oracle Order Management; managed user authentication for Michelin users.
Projects — Honeywell, MUFG Union Bank
Product: NetIQ (Identity and Access Management)
- Guided integration of identity management frameworks and performed RCA on repeated incidents.
- Monitored NetIQ production/QA servers and supported IAM tools (ServiceNow, LDAP, AD Console).
- Managed permissions for databases, applications and shared mailboxes.
- Adhered to customer processes (Change Management, NDA, ITIL) and resolved P1/P2 escalations.
- Provided access certification, recertification, access administration and role entitlement management.
- Worked with privileged access management tools (Aveksa, CMDB ServiceNow, MyRequest, Archer).
- Ensured onboarding to digital SAP processes and SOD / excessive access control detection.
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Education
Apr 2024 — Present
M.Sc. Computer Engineering
Paderborn University, Germany
Aug 2016 — Sep 2020
B.E. Electronics & Telecommunication Engineering
BMS Institute of Technology and Management, Visvesvaraya Technological University
06
What I work with
Energy & geospatial
GIS & MCDA3D CityDB · CityGML · LoD2
EMODnetCopernicus
Global Wind Atlas
Data
PythonSQL
PostgreSQLGrafana
Power BI
Software
C++Vue · TypeScript
JavaScriptHTML · CSS · Bootstrap
DockerP4
Operations & security
ServiceNowUiPath (RPA)
Cybersecurity & IAMRisk Analysis
07
Earlier projects and internships
Nov 2019 — Apr 2020
Energy-Efficient Early Warning System to Detect Landslides
Wireless sensor network design using a network simulator. Published in a journal and presented at a conference.
Feb 2018 — Aug 2019
Autonomous Driving Using CNN
Convolutional neural network for vision-based steering prediction.
Aug 2017 — May 2018
Dark Activated LED
Ambient-light-triggered lighting circuit.
Aug 2016 — Apr 2017
Rain Sound Generator
Noise generator built with operational amplifiers.
2019 · Internship
Bharat Electronics Limited India
Naval Systems: sonar and naval communication systems.
2020 · Internship
PAAGC Digital Web Academy Pvt. Ltd.
Full-stack development: websites and mobile-responsive applications.
08
Papers, certifications and languages
Publication
- “Mitigating losses in landslide detection with WSN”: European Journal of Molecular & Clinical Medicine, 2020, Vol. 7, Issue 8; also presented at ICETSTES-2020.
Languages
- English — full professional proficiency
- German — currently learning, in daily use at work
- Kannada — native
- Hindi — fluent
Certifications
- Salesforce Administrator
- AWS Cloud Practitioner Essentials
- SQL MasterClass: SQL for Data Analytics
- Google Analytics for Beginners · Advanced Google Analytics
- Complete Machine Learning with R Studio — ML
- JavaScript Ultimate Guide
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Say hello
Open to roles in energy & renewables
Working on the energy transition? I'd love to talk.
I'm finishing my master's in Paderborn while working at Fraunhofer IEE and Paderborn University. I'm looking for work where data meets energy: wind, hydrogen, heat, industry, grids, and the AI that will run them. If that sounds like your team, write me. I reply to everything, usually within a day.
Email
nischithagv98@gmail.com
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LinkedIn
/in/creatrix91
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Based in
Paderborn, NRW
Happy to relocate across Germany
Happy to relocate across Germany