BSc IT Graduate with specialized experience in incident response, threat hunting, and AI-driven workflow automation. Proven track record of managing full incident lifecycles across 10+ simulated attack scenarios. Expert …
BSc IT Graduate with specialized experience in incident response, threat hunting, and AI-driven workflow automation. Proven track record of managing full incident lifecycles across 10+ simulated attack scenarios. Expert at leveraging Python, SQL, and Power BI to transform complex datasets into actionable security intelligence. A versatile technologist passionate about bridging the gap between cybersecurity and data analytics.
Led a 45-hour industry project focused on Employee Attrition and Performance Analysis, managing the process from data ingestion to final reporting.
Analyzed complex organizational datasets to identify high-risk attrition factors and performance correlations.
Translated raw HR metrics into actionable insights to assist in developing retention strategies and improving workforce performance.
Utilized advanced analytical techniques to process employee data, ensuring results met industry-standard reporting requirements.
Presented final findings through structured reports, demonstrating the impact of attrition on overall business productivity.
End-to-End Project Execution: Led a 45-hour industry project focused on Employee Attrition and Performance Analysis, managing the process from data ingestion to final reporting, Statistical Insight Generation: Analyst complex organizational datasets to identify high-risk attrition factors and performance correlations, Data-Driven Strategy: Translated raw HR metrics into actionable insights to assist in developing retention strategies and improving workforce performance, Tool Proficiency: Utilized advanced analytical techniques to process employee data, ensuring results met industry-standard reporting requirements, Stakeholder Reporting: Presented final findings through structured reports, demonstrating the impact of attrition on overall business productivity
Performed rigorous SQL-based auditing on large-scale datasets to identify inconsistencies and maintain high data integrity standards.
Engineered interactive Power BI dashboards to track and visualize key performance indicators (KPIs) and emerging market trends.
Built automated data cleaning workflows using Python (Pandas/NumPy), reducing the time required for manual data preparation.
Identified bottlenecks in the existing data collection process and implemented improvements that increased analytical efficiency.
Communicated technical findings to non-technical stakeholders to guide data-backed decision-making.
Technical Auditing: Performed rigorous SQL-based auditing on large-scale datasets to identify inconsistencies and maintain high data integrity standards, Dashboard Development: Engineered interactive Power BI dashboards to track and visualize key performance indicators (KPIs) and emerging market trends, Pipeline Automation: Built automated data cleaning workflows using Python (Pandas/NumPy), reducing the time required for manual data preparation, Process Optimization: Identified bottlenecks in the existing data collection process and implemented improvements that increased analytical efficiency, Cross-Functional Collaboration: Communicated technical findings to non-technical stakeholders to guide data-backed decision-making
Engineered a Python-based tool using Stream lit and Gemini API that processes raw datasets via natural language queries.Automated the "Cleaning-to-Reporting" pipeline, reducing manual inspection time by converting raw security logs into structured Security Incident Reports (SIR).
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