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.
During my master's, I have been working on projects that combine data engineering, geospatial analysis, and energy applications - urban energy demand analysis, offshore wind, and hydrogen infrastructure planning. This transition was intentional, and it helped me connect my technical background with energy-focused problem solving.
Today, 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.
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 consume heat, and help the grid make decisions faster than people can. That's the work I want to spend the next decade on.
Where I've worked
Three roles. Tap one — it opens.
- 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.
- 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 — 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).
- 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.
- 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.
- 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.
- 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.
Education
M.Sc. Computer Engineering
Paderborn University, Germany
B.E. Electronics & Telecommunication Engineering
BMS Institute of Technology and Management, Visvesvaraya Technological University
What I work with
Earlier projects & internships
Energy-Efficient Early Warning System to Detect Landslides
Wireless sensor network design using a network simulator. Basis for two published papers.
Autonomous Driving Using CNN
Convolutional neural network for vision-based steering prediction.
Dark Activated LED
Ambient-light-triggered lighting circuit.
Rain Sound Generator
Noise generator built with operational amplifiers.
Bharat Electronics Limited India
Naval Systems — sonar and naval communication systems.
PAAGC Digital Web Academy Pvt. Ltd.
Full-stack development: websites and mobile-responsive applications.
Papers, certifications & languages
Papers published
- European Journal of Molecular & Clinical Medicine, 2020, Vol. 7, Issue 8 — “Mitigating losses in landslide detection with WSN”.
- ICETSTES-2020 — “Mitigating losses in landslide detection with WSN”.
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
Say hello
Working on the Energy transition? I'd love to talk.
I'm finishing my master's in Paderborn and looking for work where data meets energy — wind, hydrogen, heat, grids, and the AI that will run them. If that sounds like your team, write me. I reply to everything, usually within a day.
Happy to relocate across Germany