Aditya Dwivedi

• Threat Intelligence Analysis:
• Expertly analyze IOCs with tools like URLscan, VirusTotal, and Cisco Umbrella.
• Develop strategies for blocking/allowing IOCs, bolstering overall security.
• Maintain playbooks for efficient day-to-day tasks and effective incident response.
• Tool Proficiency and Automation:
• Proficient in threat intel tools, automating tasks for efficiency.
• Create dashboards using query languages to visualize data.
• Integrate threat intel feeds into workflows for real-time updates.
• Collaboration and Skill Enhancement:
• Collaborate with teams to share insights and improve security measures.
• Stay updated on latest threat intel trends and methodologies.
• Provide training, mentorship, and documentation for a knowledgeable team.
• Developed positive working relationships with stakeholders to effectively coordinate work activities

• Perform Threat Modeling for Health insurance client.
• Created Devsecops pipeline for client added tool in pipeline such as Burpsuite, zap, trufflehog, anchor.
• Work with application developers to validate, assess, understand the root cause and mitigate vulnerabilities.
• Perform Threat Modeling on Client Infrastructure.
• Interact with clients on high and technical levels to discuss findings and resolutions.
• AWS Security Re-Architecture where I have developed Multi-Account Architecture.
• Setup AWS security control's like Macie, Detective, Inspector, GuardDuty, securityhub, Integration WAF.
• Blocking all public access (using Inspection VPC and private subnet).
• As a security Analyst I have performed logs and monitoring for client.
• Escalate tickets that cannot be triaged using the provided SOP’s.

• Created Phishing tool for our organization.
• Creating New Features, Functionality, and capabilities on the tool.
• Worked on handling Database.
• Performing Bug fixes and code reviews
• Command Over HTML, CSS, and JavaScript,Golang languages
• Performed Unit Testing.

• Title: Credibility Analysis for product- feature launch Description: The problem was to estimate if a customer would purchase a similar feature on launch or not.
• Title: Clustering of product parameters Description: This was Phase I where the problem faced was to estimate product code for which there is high annual bugs reported based on product code and subsystem code.
• Created ML model for hotel review data set using random forest algorithm.
• Worked on data extraction using google OCR for Health Insurance form and US based License.

Title: Sentiment Analysis

Description: The assignment was to evaluate customer’s response towards Hotel and services which was achieved through sentimental analysis. Feedbacks and reviews are used for data modelling using Textblob package (Python).

Responsibilities:

• Exploratory Data Analysis
• Model building and Performance Analysis