Data & ML Analyst - Security Analytics Specialist

SELVINA SWARNA

680-***-**** ********@***.*** LinkedIn Github

EDUCATION

Syracuse University, School of Information Studies, Syracuse, NY May 2026 Master of Science, Information Systems

• Coursework: Data Science, Business Analytics, Information Security, Applied Machine Learning Mumbai University, Ap Shah Institute of Technology, Mumbai, Maharashtra May 2024 Bachelor of Science, Computer Science and Cybersecurity

• Coursework: Cloud Computing, Computer Networks, Artifical Intelligence (AI), Operating Systems WORK EXPERIENCE

Burton Blatt Institute (BBI), Syracuse University Nov 2025 - Present Data & ML Content Analyst Syracuse University

• Produced data-informed analytical assets and dashboards used by stakeholders to interpret trends and outcomes, increasing engagement by 30%.

• Translated large, unstructured research documents into structured insights, improving decision turnaround time by 35%.

• Designed visual analytics using R, Tableau, and Power BI to communicate patterns, anomalies, and findings to non-technical audiences. Orion Secure Aug 2025 - Present

Information Security Analyst Syracuse,NY

• Analyzed high-volume operational and event data to identify behavioral patterns, anomalies, and root causes affecting system reliability.

• Built analytical workflows to evaluate system behavior, investigate unexpected outcomes, and improve consistency under real-world conditions.

• Developed structured reporting pipelines using ServiceNow, enabling monitoring of resolution trends and escalation patterns.

• Partnered with engineers and business stakeholders to translate findings into clear, decision-oriented insights. Syracuse University Jun 2025 - Aug 2025

Teaching Assistant Syracuse,NY

• Led weekly sessions explaining system behavior, failure modes, and detection techniques using data-driven examples.

• Designed hands-on labs focused on pattern recognition and anomaly identification, resulting in a 40% improvement in student performance.

Quodeck Technologies Nov 2023 - Jan 2024

Content Data Analyst Intern Mumbai,India

• Analyzed 250,000+ rows of behavioral, revenue, and engagement data using Python and SQL to identify lifecycle patterns.

• Performed exploratory analysis and regression-style comparisons to evaluate the impact of product and marketing initiatives.

• Built analytical dashboards to surface trends, drop-offs, and performance drivers for leadership.

• Cleaned and validated large datasets, improving analytical reliability by 30%. TECHNICAL SKILLS

• Programming & Scripting: Python (pandas, NumPy, scikit-learn), R, SQL, PHP, HTML5, CSS3

• Data Analytics & Visualization: Advanced Excel (Pivot Tables, Power Query, Lookups), Power BI, Tableau, Google Sheets, Data Cleaning, KPI Analysis, Dashboarding

• Machine Learning & Statistics:: Regression analysis, Classification, Anomaly detection, Exploratory data analysis (EDA), Feature engineering, Model evaluation

• AI & Generative AI: LLM fundamentals, Hugging Face exposure, Prompt engineering, Interest in agent-based systems and AI behavior evaluation

• Cloud & Data Platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, Snowflake, Streamlit, Shiny

• Collaboration & Communication: PowerPoint, Git, Google Workspace, Technical documentation, Stakeholder communication ACADEMIC PROJECTS

ML-Based Behavioral Evaluation & Anomaly Detection Platform May 2025 - Sep 2025

• Built an end-to-end Python-based analytics pipeline to ingest and analyze high-volume event data.

• Implemented machine learning models (scikit-learn) to detect anomalous behavior and classify system events.

• Designed evaluation logic to monitor outputs, surface unexpected patterns, and generate structured insights.

• Developed an interactive Streamlit interface to explore scenarios, debug behavior, and analyze trends in near real time. Energy Consumption Forecasting & Model Evaluation Platform Jan 2025 - May 2025

• Developed regression-based ML models to forecast energy usage across 5,000+ entities.

• Performed feature engineering and model evaluation to assess accuracy and stability.

• Built a Shiny-based interface to explore predictions, analyze error patterns, and validate model behavior. CERTIFICATIONS

• Google Data Analytics Professional Certificate:Gained skills in SQL, R, Excel, and Tableau. Learned data cleaning, analysis, and visualization. Completed a real-world analytics capstone project (July 2025).

• IBM Ethical Hacking with Kali Linux:Gained hands-on experience with Kali Linux tools for reconnaissance, vulnerability scanning, and penetration testing in simulated labs (July 2025).

• IBM Exploitation and Penetration Testing with Metasploit:Applied exploitation and post-exploitation techniques using Metasploit; developed structured reports for risk analysis (July 2025)

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