Tanushri Shanmuga Sundaram

Bachelor of Business Administration in Computer Information Systems (Data Analytics)

Minor in English · GPA: 3.4 · President of Marketing, Women in Business · Provost Honors · Dean's List

Systems & Security Specialist

• Develop and maintain information security policies and protocols; administer identity and access management (IAM), user permissions, and authentication to protect data confidentiality and system integrity.
• Perform network security monitoring, vulnerability assessments, and penetration testing to identify threats and security weaknesses; support incident response, document findings, and coordinate remediation.
• Collaborate with the IT team on secure configuration management and system hardening; align information systems with security best practices and compliance requirements, and research emerging cyber threats.

President of Marketing and Analytics

• Owned marketing analytics for a 150-member organization, defining and tracking KPIs (engagement rate, reach, shares) to evaluate campaign performance and guide strategy.
• Used insights to refine content structure, branding, and strategy, increasing digital engagement by ~30% on major platforms.
• Optimized campaign execution using performance data, contributing to a 2x increase in average event attendance.

Marketing Analytics

• Owned Instagram performance tracking, defining KPIs and analyzing post-level data to optimize content strategy.
• Built a lightweight dashboard (Excel/Sheets) to track trends and inform posting, testing, and promotion decisions.

NYC 311 Service Requests Analysis Public dataset

• Processed and normalized 19M+ NYC 311 records using Python (pandas) to enable large-scale analysis across boroughs.
• Identified high-volume complaint clusters and spatiotemporal patterns to inform resource allocation and service prioritization.

Audience Signal OS AI-assisted marketing analytics tool

• Building an interactive marketing analytics dashboard that ingests CSVs, visualizes performance, and generates content strategy insights.
• Designed data workflows to categorize campaign content, detect performance patterns, and generate data-backed recommendations from uploaded datasets.
• Developing an AI-assisted insight layer to connect content attributes with audience behavior and suggest campaign-specific optimization.

Cyberprotection "Spam and Scam" Classification Bot

• Built a rule-based NLP classification system in Dify to detect spam and phishing emails using text and sender heuristics.
• Implemented a risk scoring model to automate threat detection and flag high-risk communications.