Anika Mukherjee
Senior Data Analyst @CIRA
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WORK HISTORY
Senior Data Analyst @CIRA
Ottawa, ON, CA
Enhancing data pipelines for dashboard performance improvement with ETLs, scheduled refreshed materialized views, minimizing external API calls, simplifying queries, and upgrading and optimizing databases, improving query performance by up to (ex.~2-minute load time to ~20 milliseconds).Building analytical tooling transforming large-scale datasets (billions of new records monthly) from cloud data backend infrastructure (AWS Athena, Glue, S3, Lambda) into customer- and internal-facing front-end self-serve dashboards (built on Apache Superset). Large-scale anomaly detection on DNS firewall packet data, enabling proactive identification of bot activity, DDoS patterns, and other abuse signals.Training/mentoring internal team members across business units on CIRA’s proprietary data analytics tool to empower users to self-service data. Producing custom data reports to support our cybersecurity posture at Canadian and international relations meetings (including talks given by the CEO) in cross-functional teams.Ingesting employee commuting data to calculate greenhouse gas emissions in support of our Net-Zero emissions achievements.Sat on 12 interview panels for technical and non-technical roles (finance, HR, sales, professional services, engineering, project management).Work featured on TLDR by Wealthsimple August 2025
EDUCATION
University of Ottawa
Bachelor of Science - BS
University of Ottawa
Master of Science - MS
ABOUT ANIKA MUKHERJEE
Senior data professional with 5+ years of experience transforming data into actionable insights that improve security, trust, and platform integrity. My work spans anomaly detection, large-scale data analytics, and building scalable data systems—whether it’s monitoring DNS traffic at internet scale or optimising pipelines for snappy analytics.At CIRA, I analyse billions of DNS packet records monthly (among other cybersecurity data points) to identify abnormal patterns, protect users, and maintain trust in CIRA\'s cybersecurity portfolio. My role combines statistical rigour with creative problem-solving—skills that enable me to design data solutions that keep systems reliable and user experiences seamless.Technical toolkit: Python | SQL | AWS (Glue, Athena, Lambda, S3)| TensorFlow | scikit-learn | dbt | Apache Superset | GitHub | JupyterWhat drives me? Building data solutions that enhance security, resilience, and performance across platforms. I thrive at the intersection of data science, analytics, and product integrity, collaborating with cross-functional teams to deliver scalable, high-impact results.Let’s connect if you’re working on data science, security analytics, or platform reliability challenges.
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