Ananya Shekar

Fähigkeiten und Kenntnisse

Adaptability
Analyzation
Arduino IDE
Communicating for Impact
AutoCAD
Automation
Digital Twins
Computer-Aided Design (CAD)
8051 Microcontroller
Blue Prism
DTMF
COMSOL
C (Programming Language)
Acoustic Measurement
Electrical Engineering
COMSOL Multiphysics
C++
Acoustic Modeling
Fluid-Structure Interaction (FSI)
ChromaDB
Embedded C
Data Analysis
Embedded Systems
Circuit Design
Gen AI
Data Querying
Acoustic Simulation
Emotional Intelligence
Generative AI
DeepSeek
Large Language Models (LLM)
Google Colab
Digital Fluency
Encoders
LaTeX
Groq
Digital Image Processing
FEM analysis
Logic & Workflow Design
Hugging Face
Digital Signal Processing
Financial Modeling
Industrial Automation
Machine Learning
Model Validation
Fluid-Structure Interaction
Internet of Things (IoT)
Mathematical Modeling
MySQL
Process Automation
Knime
MATLAB
Natural Language Processing (NLP)
Project Management
LangChain
Pandas
Matplotlib
Project Planning
Retrieval-Augmented Generation (RAG)
Piezoelectric
Metro Rail System
Robotic Process Automation (RPA)
Python (Programming Language)
PLC Programming
Microsoft Excel
Robotics
Microsoft Power BI
Relational Databases
Power Distribution
SCADA
Relationship Building
Sensors
Power Electronics Measurement
Renewable Energy
SQL Queries
Signal Processing
Power electronics meaurement
Renewable Energy Systems
Streamlit
Simulink
Structural Dynamics
Problem Solving
Research and Development (R&D)
Software Development
Structural Mechanics
Responsible AI
Solar PV
Structured Problem Solving
Team Management
SQL
Traction Systems
Vector Databases
Wind Energy
Zotero

Werdegang

Berufserfahrung von Ananya Shekar

  • Bis heute 5 Monate, seit Apr. 2026

    Studentische Hilfskraft

    Institut für Automation und Kommunikation

    - Transitioning FSI simulation models from idealised geometries to real imported industrial CAD geometries in COMSOL Multiphysics 6.4, resolving mesh embedding and surface intersection challenges that caused non-physical simulation responses, directly improving model accuracy and experimental correlation. - Implementing point-load boundary excitation on curved keg dome surfaces to replicate real-world piezoelectric tap-testing conditions - replacing a flat-surface boundary load approach that produced quasi

  • 6 Monate, Okt. 2025 - März 2026

    Intern

    Institut für Automation und Kommunikation

    - Developed Fluid-Structure Interaction (FSI) simulations of DIN-standard 30L and 50L industrial kegs in COMSOL Multiphysics 6.4, coupling Solid Mechanics, Pressure Acoustics and Acoustic-Structure boundary conditions to model non-invasive fill level detection using piezoelectric sensors. - Conducted frequency response analysis across 100 discrete frequency points (10–1000 Hz, 10 Hz steps) for 3 fluid fill levels across 2 keg geometries, generating structural vibration data to identify fill-level-dependent

  • 5 Monate, Dez. 2023 - Apr. 2024

    Data Analyst Intern

    Renewable Insights

    - Developed a Python-based Random Forest predictive model trained on 12 months of historical sensor and weather data, improving solar energy output forecast accuracy by 18% and enabling data-driven maintenance decisions. - Diagnosed 15+ plant operational anomalies per month by building real-time SQL and KNIME data pipelines across live sensor streams, enabling faster fault identification and reducing unplanned downtime. - Automated data-cleaning workflows and consolidated KPI reporting from 3 operational

  • 2 Monate, Aug. 2023 - Sep. 2023

    Intern

    Bangalore Metro Rail Corporation Limited

    - Studied the architecture of High-Voltage Traction Systems and auxiliary power distribution networks supporting continuous metro rail operations across the Bangalore Metro network. - Gained hands-on exposure to Signalling, Telecommunication, and SCADA protocols used for automated train control and real-time fault detection across one of India's largest urban metro rail systems. - Analysed operational workflows and electrical infrastructure, developing a practical understanding of large-scale power distri

Ausbildung von Ananya Shekar

  • Bis heute 1 Jahr und 11 Monate, seit Okt. 2024

    Master of Science - MS

    Otto-von-Guericke University Magdeburg

  • 3 Jahre und 6 Monate, Dez. 2020 - Mai 2024

    Bachelor of Engineering

    DAYANANDA SAGAR ACADEMY OF TECHNOLOGY AND MANAGEMENT, BANGALORE

Sprachen

  • Englisch

    C1 (Fließend)

  • Deutsch

    B1-B2 (Gute Kenntnisse)

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