Ashish Pandey

Energy Data Analyst @Entrix

Munich, DE
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Nov 2025 — Present

Energy Data Analyst @Entrix

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Munich, DE

EDUCATION

2012 — 2014

Satluj Public School

Senior secondary school, Science

2014 — 2018

UPES

Bachelor of Technology (B.Tech.), Electrical Engineering

N/A

Ulm University

Master's degree, Energy Science and Technology

SKILLS

Product DevelopmentPowerpointTeamworkTeam ManagementProject ManagementEngineeringLogo DesignUser Experience DesignC++ArduinoMicrosoft WordTeam LeadershipSqlUser Interface DesignC

ABOUT ASHISH PANDEY

Transforming Energy Data into Sustainable Solutions | Recent Energy Science GraduateI specialize in applying machine learning and data analytics to solve real-world energy challenges. At Technische Hochschule Ulm, I developed advanced forecasting models that achieved 93% accuracy (R²) for solar power prediction and optimized systems to reduce deployment overhead by 92%.What I bring to the table:Energy Analytics: Built LSTM/GRU models for German electricity load forecasting with 94.2% accuracySolar Power Forecasting: Developed CVAE models achieving median MAE of 0.38 kW across 12 PV systemsSystem Optimization: Reduced Docker image sizes from 1.3GB to 100MB for real-time analytics deploymentFleet Operations: Led 200+ vehicle fleet management system rollout, improving operational efficiencyRecent Projects: Standard Load Profile Analysis: Uncovered ±20MW seasonal drivers using weather data integration IoT Weather Station: Built real-time monitoring system with Raspberry Pi and Grafana dashboards German Grid Forecasting: Created end-to-end ML pipelines for 24-hour ahead load predictionsTech Stack: Python, MATLAB, TensorFlow/Keras, Power BI, InfluxDB, Docker, scikit-learn, GCP(learning)I\'m passionate about leveraging data science to accelerate Germany\'s energy transition. Whether it\'s optimizing renewable integration, improving grid stability, or enhancing energy storage systems, I turn complex data into actionable insights.Ready to contribute to your energy analytics team. Let\'s connect!

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