Intern, Data Analytics

About the Role

We are seeking a passionate and research-oriented Intern to contribute to avionics and AI teams in analyzing radar and flight telemetry data to support system performance assessment, calibration, and model development.

Key Responsibilities

• Analyze flight telemetry data (GPS, IMU, barometer, magnetometer).
• Process radar data for target detection, tracking, and classification.
• Develop algorithms for data filtering, noise reduction, and feature extraction.
• Create visualizations and dashboards for flight performance monitoring.
• Build predictive models for flight trajectory estimation.
• Develop machine learning models for anomaly detection in sensor data.
• Support development of digital twins for aerostat platforms.
• Prepare technical reports on data analysis findings.
• Document algorithms, methodologies, and validation results.
• Present findings to engineering and leadership teams.

Requirements & Tech Stack

• Pursuing or completed B.Tech/M.Tech in Data Science, Computer Science, or related field.
• Strong programming skills in Python (NumPy, Pandas, Matplotlib, Scikit-learn).
• Experience with data visualization tools (Tableau, Power BI, or similar).
• Basic understanding of signal processing and time-series analysis.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch) preferred.
• Knowledge of aerospace systems and sensor data is a plus.
• Strong analytical and problem-solving skills.