Alisha -
Cybersecurity Analytics Engineer | Security Operations Engineer | Qualys certified | Threat Analyst | Splunk | RSA Netwitness | Risk management | AWS | SOC1 | SOC 2| QRADAR.
8.6
Years of Experience
Education
Companies
dell, genpact, hsbc
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Alisha's contact details
Experience
2019 - Present
dell
Cyber Threat Analyst
• Working on Cyber security use-case requirement gathering, performing large-scale data analysis, and developing effective statistical and machine learning models for improving cyber security capabilities. • Operate, Build Advance detections in Devo. • Develop models for implementation and automation and queries in Devo • Experience with GitHub for query modeling. • Managing the team and training the interns with the ongoing regression models and implementation. • Interface with other internal and external clients regarding security policy, security controls failure and incident response situations.
2018 - 2019
genpact
Cyber Security Consultant
• Worked in 24*7 SOC environment with SIEM Splunk and QRADAR to analysis of security logs to ensure each incident is properly identified, updated, and assigned to the correct Investigations Tier. • Worked on the AWS cloud platform to set up jump servers and instance creations. • Worked with SOC document preparations. • Worked on AWS, and Sumo Logic. • Worked with use case (correlation rules, reports, alerts, dashboard) development. • Worked with Resilient, CA ticketing tool • Worked on analysis of alerts based on Fire Eye threat intelligence feeds, Worked on Investigation of Symantec DLP alerts. • Experience in creating and implementing plans to streamline the delivery of Security Compliance deliverables in adherence to company Information security policies.
2015 - 2017
hsbc
Software Engineer
• HSBC-CALLBACK Protocol: Lead a 3-member team in design, development, and deployment phases to provide secure transactions through HSBC's Global payment processing system using Agile methodology. • Auto cable Release Enhancements: Built complex RPGLE, CLLE programs, enhanced the SQL queries and performed statistical analysis to find a minimum feasible threshold to automate the payment processing system and achieved a 93% accuracy • Improved a customer risk model by increasing the sensitivity by 6% and reducing false positive rate by 4% to correctly identify high risk customers and reduce customer churn. • Volunteered in guiding a team of 3 interns on HUB programming by conducting knowledge transfer sessions.
Experience
22 Skills
Amazon Web Services (AWS)
analytics
Automation
Computer Hardware
Data Analysis
Design
GitHub
Hardware
Information Security
Logic and Reasoning
Machine Learning (ML)
operations
Problem solving
Research
Research Scientist
Risk Management
security
Security Operations
servers
soc
Splunk
SQL
Education
