Prishitha Reddy Lokareddy
Professional Summary
Security Analyst with 0 years of experience applying SOC processes, SIEM log analysis, and detection engineering to investigate incidents, hunt threats, and build detections. Hands-on with Splunk, Microsoft Sentinel, ELK/Kibana, Sysmon, Sigma, endpoint monitoring, Windows/Linux forensics, and Python automation. Strong foundation in MITRE ATT&CK mappings, vulnerability assessment, network traffic analysis, and ML-based anomaly detection to reduce mean time to detect and support incident response.
Technical Skills
Work Experience
- Built and shipped production frontend features using React Native, integrating 12+ REST and third-party APIs to support five major iOS/Android releases.
- Implemented Web3 frontend flows and integrations using React, Next.js, and TypeScript to enable smart-contract interactions and client-side wallet flows.
- Developed and maintained CI/CD pipelines to automate builds and releases, shortening deployment time for major releases and ensuring repeatable builds.
- Collaborated with backend and QA teams to triage and debug production issues, coordinated hotfixes and releases that cut app crash rates by 40%.
- Integrated logging and runtime error reporting into app builds to improve observability and accelerate root-cause analysis of production defects.
- Authored component-level documentation and participated in code reviews to improve code quality, maintainability, and onboarding for subsequent releases.
- Designed and implemented an ML anomaly-detection pipeline (Random Forest, SVM, Logistic Regression) that increased detection accuracy from 80% to 92%.
- Led a 5-member team to build an Oracle-based data warehouse and interactive BI dashboards for stakeholder reporting and analytics consumption.
- Improved regression analysis accuracy to 98% through rigorous data validation, feature engineering, and systematic model testing.
- Built data ingestion and preprocessing workflows to consolidate telemetry and transactional data into the Oracle warehouse for downstream models.
- Collaborated with cross-functional stakeholders to translate requirements into dashboard KPIs and delivered iterative BI releases for executive reporting.
- Documented model training, validation procedures, and handoff artifacts to support repeatable model retraining and operationalization.
- Resolved 65% of a tracked bug backlog by performing targeted debugging, code fixes, and regression verification across affected modules.
- Conducted systematic root-cause analysis to identify underlying defects and implemented corrective changes to prevent recurrence.
- Worked directly with operations managers to reproduce user-reported issues, prioritize fixes, and validate resolutions in staging and production.
- Performed code reviews to identify defects early, improve code quality, and document remediation steps for the engineering team.
- Created and updated troubleshooting documentation and runbooks to streamline handoffs between engineering and operations.
- Collaborated with teammates to refine issue triage processes and improve the speed of incident resolution for end users.
Education
Certifications
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