Open to opportunities

Nekha User

@nekhauser

Message

Cybersecurity professional focused on data protection, risk management, and incident-ready security operations.

India

Message

What I'm looking for

I’m looking for a role where I can own security operations and data protection—improving Microsoft Purview DLP/Insider Risk, tuning alerts to reduce false positives, and supporting incident response and compliance with frameworks like ISO 27001, NIST, GDPR, and HIPAA.

I’m a cybersecurity professional with over 5 years of experience in company monitoring, security operations, data protection, and risk management. I have hands-on experience setting up and improving Microsoft Purview DLP, Insider Risk Management, data classification, sensitivity labeling, and compliance controls.

I look into security alerts, perform risk assessments, and analyze user behavior to support incident response. I also strengthen programs through alert triage and false-positive tuning, generating security analytics reports and supporting preventive controls.

Alongside that, I bring a strong data mindset from building and optimizing ETL pipelines and automation—reducing processing time, improving detection readiness, and improving accuracy for PII detection and auto-classification. My work aligns with ISO 27001, NIST, GDPR, and HIPAA frameworks, and I hold certifications including ISC2 Certified in Cybersecurity, CompTIA Security+, and SC-900.

Experience

Work history, roles, and key accomplishments

Data Analyst & Consultant

Nestabide

May 2022 - Aug 2023 (1 year 3 months)

Optimized ETL pipelines with Python and SQL, reducing data processing time by 20%. Built automated data validation to improve data integrity and increase processing efficiency by 18% while partnering on scalable reporting solutions.

Python SQL ETL Data Validation Data Integrity Data Quality Reporting Workflow Optimization

Software Developer

UST

Nov 2019 - Apr 2022 (2 years 5 months)

Automated system monitoring and alerting with Control-M, reducing reporting effort by 20+ hours per week. Improved incident detection and response time by 12% via real-time alerting integration between Opsgenie and Grafana and reduced MTTD by 25% using Catchpoint with RUM and synthetic testing.

Control M OpsGenie Grafana Catchpoint Synthetic Monitoring Incident Response Alerting

Python Developer

Wiable Solutions

Mar 2019 - Nov 2019 (8 months)

Designed and deployed machine learning models in Python for environmental noise classification. Conducted signal analysis to improve model classification accuracy by 30%.

Python Machine Learning Signal Processing Data Analysis Feature Pattern Analysis