Open to opportunities

Shubham Kumar

@shubhamkumar34

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Detail-oriented data and security analyst focused on becoming a SOC Analyst.

India

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What I'm looking for

I’m looking for an SOC role where I can deepen SIEM expertise (Azure Sentinel, Splunk, LogRhythm, RSA), perform alert triage with playbook adherence, and grow through hands-on incident response and active threat hunting in a collaborative team.

I’m a detail-oriented and analytical B.Tech (ECE) graduate combining hands-on data analysis with a clear drive to work in Security Operations. I’m seeking to leverage my Python scripting knowledge and strong analytical approach to contribute as a SOC Analyst, supported by fundamentals in Windows log comprehension and data-driven reporting.

I’ve built practical momentum through internships and projects that feel directly adjacent to SOC workflows—analyzing large datasets, validating quality, and documenting deviations with root-cause thinking. In particular, I’m eager to grow into SIEM-driven work across platforms like Azure Sentinel, Splunk, LogRhythm, and RSA, while developing active threat hunting and incident response capabilities through alert triage, playbook adherence, and structured incident documentation.

Experience

Work history, roles, and key accomplishments

Current

Business Intelligence & Growth Associate

Current

Ambrosia Botanicals

Dec 2025 - Present (6 months)

Analyzed 500+ lead data points using Python (Pandas) and web scraping to identify process inefficiencies, improving lead conversion quality by 30%. Designed 40+ targeted outreach campaigns, monitored performance metrics, and performed root cause analysis on process deviations in lead qualification workflows.

Python (Pandas)Web Scraping Data Analysis Lead Qualification Root Cause Analysis A B Testing

Growth Analytics Intern

Pregrad

Jan 2025 - Apr 2025 (3 months)

Analyzed user funnels and traffic patterns using Google Analytics and SQL to identify behavioral anomalies and drop-off risks, increasing organic traffic by 25%. Conducted A/B testing and cohort analysis, summarized findings with graphical outputs, and tracked observed behavioral metric deviations for timely mitigation.

Google Analytics SQL Funnel Analysis Cohort Analysis A B Testing Anomaly Detection Data Visualization

Business Intelligence Intern

Astrotaare

May 2024 - Aug 2024 (3 months)

Analyzed 15,000+ user records using Python and SQL to detect churn risks and behavioral patterns, implementing targeted retention strategies that improved customer retention by 12%. Performed cohort analysis to identify high-value segments contributing 35%+ of revenue and produced trend summaries for business decisions.

Python SQL Customer Retention Cohort Analysis Customer Segmentation Data & Analytics