Cybersecurity Analyst Resume
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SUMMARY
- Dedicated IT professional with 3 years’ experience in data and cyber security analytics space
- Data enthusiast with a MS in Data Science
- Skilled python and SQL developer with hands on experience in cyber security analytics, intrusion detection and vulnerability analysis on MISP threat intelligence platforms
- Building trend visualizations analytics on tableau dashboards for business
TECHNICAL SKILLS
- Python
- SQL
- Scala
- Oracle
- PGDB
- Informatica
- Elasticsearch
- PostgreSQL
- Docker
- Kubernetes
- Tableau
- Visio
- Data Science
- AWS
- Azure
- MISP
- Cortex XSOAR
- Kibana
- Logstash
PROFESSIONAL EXPERIENCE
Cybersecurity Analyst
Confidential
Responsibilities:
- Integrating vulnerability and risk logs from multiple sources
- Creating visually impactful dashboards to analyze vulnerability and risk
- Developing complex queries to extract and ingest data into analytic database
- Creating 200+ watcher alerts using chain inputs and nested aggregations in migrating QRadar rules to Elasticsearch for intrusion detection
- Managing GIT source code repository for landscape
- Containerized Infrastructure Management
- Engineering experience using Python
- Data Analytics on Tableau
- Threat Analytics on Elasticsearch logs
- Complex analytics queries on PostgreSQL
- Cloud Adoption - Dockerised application and deployed in Azure Kubernetes Services
Security Engineer
Confidential
Responsibilities:
- Data quality and reliability by analyzing and interpreting logs
- Realtime log aggregation and ingestion pipeline to extract, interpret and index data
- Set up threat intelligence platform MISP
- Reduced 25% of manual process by automating threat log analytics
- Threat Intelligence Platform MISP
- Real time secure Kafka log data ingestion into Elasticsearch using Logstash
- Indexed MISP logs through Logstash, Memcached into Elasticsearch
Data Analyst
Confidential
Responsibilities:
- Developed programs to index 100,000+ records to analyze system performances using CPU and Memory Utilizations.
- Collected, curated, and indexed significant infrastructure data to benchmark performances and identified anomalies to optimize performance
- Python applications to automate alerting and indexing logs to Elastic Search
- Kibana queries to build date histograms and nested aggregations for analytics
Program Analyst
Confidential
Responsibilities:
- Database creation and building a relationship platform for custom data warehouse to perform ETL
- Oracle as Database and Informatic as ETL