Automation & Operational Analytics
Python workflows for data extraction, cleaning, signal processing, repeatable reporting, dashboards, and decision-support pipelines.
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Focused on senior AI/ML roles and collaborations where signal data, uncertainty-aware evaluation, and reliable industrial decision support matter.
Open to
I help teams move from raw operational data to practical decision support: data extraction, signal processing, automation workflows, predictive models, uncertainty-aware evaluation, dashboards, and technical reporting.
01preferred
Senior Signal Processing / Acoustic ML Engineer
Signal ML, acoustic analytics, vibration diagnostics, and physics-informed condition monitoring for industrial assets.
02
Senior Computer Vision Engineer / Scientist
Vision-based inspection, defect detection, and sensor fusion roles where industrial AI and evaluation rigor are central.
03
Principal AI / ML Scientist
Principal-level roles where uncertainty-aware decision support, model validation, and deployment-grade analytics are the core challenge.
04
Consulting and Freelance
Project-based work in predictive maintenance, signal analytics, operational AI, and model validation across energy, manufacturing, rail, and infrastructure.
Get in touch
Pick whichever channel suits you — email gets the fastest reply.
Drop me a line anytime
zoh.sarwar@gmail.comWhatsApp / Phone
Quick questions and calls
+47 405 89 934Recruiters and collaborators welcome
Connect with meUpwork
Freelance and project-based work
Hire me on UpworkConsulting & Collaboration
What I can help with
Predictive Maintenance
Condition monitoring, vibration and acoustic diagnostics, degradation modeling, anomaly detection, and maintenance insight for industrial assets.
Model Validation & Reliability
Baseline comparisons, uncertainty scoring, calibration checks, robustness testing, performance tracking, and safe automation thresholds.
Core Responsibilities I Can Own
- Signal and sensor data pipelines
- Industrial AI proof-of-concepts
- Monitoring dashboards and reports
- Technical documentation and stakeholder delivery