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Supriya Gir

@supriyagir

Data Analyst at Engel Systems, developing a predictive maintenance system for a moped fleet using telemetry data and anomaly detection.

Germany

Message

At Engel Systems, I'm developing a predictive maintenance system for a moped fleet using Python and 10 Hz telemetry data. I engineered ride-level features from more than 37,000 sensor rows, including battery voltage sag and vibration levels.

I built a staged anomaly detection pipeline with Isolation Forest to flag abnormal rides, and designed a behavior-event taxonomy for mechanical stress indicators. I also developed fleet-health dashboards to track battery and vehicle-health KPIs.

At We Developers, I wrote SQL queries to extract and validate application data, and analyzed survey data with Python and Pandas. I also developed a desktop application to support data-driven decision-making.

Earlier, at Capgemini, I analyzed production data and worked with DB2 databases to validate and troubleshoot enterprise systems. I led a system optimization project that increased throughput by 150%.

Experience

Work history, roles, and key accomplishments

Current

Data Analytics Intern

Current

Engel Systems

Jul 2026 - Present (3 months)

Developed a predictive maintenance system for a moped fleet using Python, analyzing telemetry data to engineer ride-level features. Built an anomaly detection pipeline and developed fleet-health monitoring dashboards.

Python Isolation Forest Anomaly Detection Data Analysis Dashboarding Telemetry Data Feature Engineering

Data Analyst (Project-Based)

We Developers

Jan 2021 - Apr 2023 (2 years 3 months)

Wrote SQL queries to extract and validate application data, ensuring data accuracy. Analyzed survey data using Python and developed a desktop application to support data-driven decision-making.

SQL Python Pandas Data Analysis Data Validation desktop application development

Associate Consultant

Capgemini

Mar 2010 - Oct 2014 (4 years 7 months)

Analyzed production data to identify defects and improve processing efficiency. Worked with DB2 databases using SQL to validate and troubleshoot enterprise systems, and led a system optimization project that increased throughput by 150%.

SQL DB2 Data Analysis Data Validation Quality Assurance System Optimization

Education

Degrees, certifications, and relevant coursework

Ironhack Berlin

Data Analytics Training Program, Data Analytics

2026 - 2026

Completed a 500+ hour intensive Data Analytics Bootcamp, covering data cleaning, statistical analysis, machine learning, and end-to-end analytics projects.