Suhas Pete

Data Analyst

Bengaluru, Karnataka, India1 yr 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI tools for aerospace data analysis.
Expert in machine learning and time-series modeling.
Strong background in data science and software development.

Stackforce AI infers this person is a skilled data analyst in the aerospace industry with a strong focus on machine learning.

Contact

Skills

Core Skills

Machine LearningTime-series Modeling

Other Skills

Amazon Web Services (AWS)Anomaly DetectionArtificial Intelligence (AI)Attention to DetailAutoencodersBack-End Web DevelopmentC (Programming Language)CICascading Style Sheets (CSS)Client PresentationCommunicationContent CreationContinuous Integration and Continuous Delivery (CI/CD)Data CollectionData Science

About

I have a deep interest in atmospheric science, machine learning, AI, data science, and the aerospace business. My ambition is to grow into someone who offers significant, impactful work in these disciplines – not just through technological solutions, but by helping push the industry forward in a responsible and inventive way. I'm dedicated to lifelong learning, purpose-driven construction, and a steady ascent up the progress ladder by hard work, curiosity, and practical application.

Experience

1 yr 2 mos

Total Experience

7 mos

Average Tenure

9 mos

Current Experience

Airbus

Data Analyst Intern

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Developing an AI-powered interactive tool for mapping Flight Data Recorder (FDR) parameters across aircraft systems and subsystems.
Applying Machine Learning and Time-Series Modeling techniques to analyze aircraft operational data and identify potential fault propagation paths.
Designing a fault propagation prediction module that leverages ML algorithms to codify system-wide relationships between faults and their affected parameters.
Researching and implementing advanced ML approaches for time-series anomaly detection, model explainability (SHAP), and feature engineering on multi-sensor flight data.
Collaborating with cross-functional engineering and AI teams to integrate predictive intelligence into Airbus’s next-generation flight data analytics ecosystem.

Machine LearningTime-Series ModelingAnomaly DetectionFault ClassificationFeature EngineeringModel Evaluation+2