🔹 MS in Computer and Information Science from Syracuse University
🔹 Hands-on experience in cloud-native development, data analytics, and system reliability
🔹 Former Microsoft Software Engineer (Contract) – resolved 300+ Azure Synapse issues and led 15+ Root Cause Analyses
🔹 Built scalable automation tools using Azure Logic Apps, Data Factory, and CI/CD pipelines
🔹 Passionate about delivering impactful solutions through clean architecture, real-time insights, and collaborative engineering
Languages: Java, Python, JavaScript, SQL, C#, HTML/CSS
Cloud & DevOps: Azure, Azure DevOps, ARM Templates, Data Factory, Logic Apps, CI/CD
Data & ML: Pandas, NumPy, Tableau, Power BI, VADER, BERT, A/B Testing
Tools: Git, Jira, Excel, Jupyter, Linux, Figma
Sep 2024 – Mar 2025 · Redmond, WA
- Acted as the DRI for Azure Synapse, managing over 300+ monthly incidents to ensure system reliability
- Used Kusto Query Language (KQL) to analyze telemetry data and uncover root causes of disruptions
- Handled ICM incidents across services involving Active Directory, authentication failures, and storage issues
- Delivered service health updates and Weekly Service Reliability (WSR) reports by collaborating with 15+ PMs
- Leveraged Elite360 and internal tools to diagnose mislabeled job groups and identify patterns in resource failures
- Led 15+ Root Cause Analyses (RCAs) and responded to 20+ critical service disruptions to improve uptime
Jul 2024 – Aug 2024 · Redmond, WA
- Designed and deployed 3 Azure Logic App workflows to track price fluctuations across competing retailers
- Integrated Azure Data Factory to process 25+ pricing attributes from CSVs and identify pricing gaps
- Coded custom C# scripts to automate email alerts and Gmail-based pop-up notifications, resulting in 150+ monthly alerts
- Streamlined issue tracking using Azure DevOps, accelerating team coordination and reducing deployment time by 25%
- Optimized database schemas and queries, improving data retrieval performance by 40% for end-users
- Collaborated cross-functionally with engineering teams to enhance real-time alert systems for pricing changes
Jan 2023 – May 2024 · Syracuse, NY
- Facilitated hands-on workshops and webinars on Python programming, data science, and Azure cloud fundamentals
- Mentored beginner and intermediate learners, guiding them through real-world projects and portfolio development
- Provided strategic support to hackathon teams on data analytics, project planning, and tool selection
- Volunteered at university tech events, fostering an inclusive environment for knowledge-sharing and innovation
- Helped aspiring developers overcome learning barriers and reach project milestones with tailored mentorship
- Developed a scalable food delivery platform tailored for Syracuse University's Schine Center
- Streamlined operational workflows, improving service efficiency by 30% and reducing delivery delays by 35%
- Used Object-Oriented Design principles and managed sprints with Jira to ensure on-time project delivery
- Conducted large-scale sentiment analysis on Reddit data using the VADER analyzer to classify 5,000+ posts
- Improved classification accuracy by 25% using advanced NLP techniques and data cleaning
- Visualized insights with Google Colab, generating time series plots, pie charts, and word clouds for stakeholder presentations
- Built a BERT-based model for movie review sentiment classification, achieving 92% accuracy
- Enhanced model performance with tokenization, stop-word removal, and feature engineering
- Delivered clear, actionable insights using data visualization and trend analysis techniques
Microsoft Fabric Analytics Engineer Associate – Issued Oct 2024
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