Sowjanya Pothana

I am a security-focused data scientist who combines hands-on threat hunting, incident response, and ML-driven analytics to strengthen enterprise security. I design and implement network security controls and automate log analysis to improve detection accuracy.

At Google, I optimized enterprise-level firewall and network policies, performed vulnerability assessments with Burp Suite, and correlated large-scale logs across Google Cloud using SQL and Python. I deliver clear, data-driven insights to cross-functional teams to improve security posture.

Previously I developed LLM-based notebooks and Python monitoring tools for automation and anomaly detection, and supported ML workflows through data preprocessing and feature engineering with Pandas, NumPy, and scikit-learn. I have built dashboards and predictive models using Tableau, Power BI, R, and Python.

I work independently as a self-starter, documenting incidents and communicating technical findings to stakeholders while continuously improving detection pipelines and automation to reduce risk.