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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

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