Nivas Verelli
Alumni Relations Assistant - Comet Call Engagement @ The University of Texas at Dallas
About
I began my journey with a BS in Computer Science, where I learned how systems are built and data flows at a technical level. I transitioned into an MS in Business Analytics at UT Dallas to focus on what matters most turning data into decisions that drive real business outcomes. This blend of technical depth and business thinking defines my profile today. During my internship at the Ronnia Langston Foundation, I worked at the intersection of analytics engineering and decision support. I architected automated ETL pipelines using Python and advanced SQL, ensuring 100% data integrity for donor tracking across global programs while reducing manual reporting latency by 10%. I also transformed complex donor and performance metrics into interactive dashboards, uncovering critical operational gaps and enabling cross-functional leadership to make confident, board-level decisions. Previously, as a Business Analyst in Bengaluru, I partnered with stakeholders to redesign AS-IS and TO-BE workflows, identifying process bottlenecks and improving efficiency by 15%. By applying advanced SQL (window functions, pivots) on large datasets and building executive-ready Power BI dashboards, I helped reduce SLA delays and accelerate data-driven decision-making. Across roles and projects, I’ve owned the full data lifecycle from raw data and modeling to visualization and storytelling. I thrive in ambiguous problem spaces, enjoy translating complex metrics into clear insights, and focus on building analytics solutions that scale across teams and industries. Core Skills: • Databases & Cloud: Snowflake, AWS, MySQL, PostgreSQL • BI & Analytics: Tableau, Power BI, Excel (Advanced, VBA), Looker • Programming: Python, SQL, R, VBA I’m actively seeking Data Analyst / Business Analytics roles where I can continue delivering high-impact, scalable analytics solutions that bridge technology and business.
United States
Richardson
Higher Education
SQL (Advanced / Analytical SQL), Python (Data Analysis & Automation), Business Intelligence (Tableau & Power BI), Data Modeling & ETL, Cloud Platforms & Big Data (AWS, Apache Spark, Snowflake), Finance, Healthcare, Data Visualization, Python Analytics, Amazon Web Services (AWS), Cloud Computing, Apache Spark, Big Data Processing, Healthcare Analytics, Data Modeling, Extract, Transform, Load (ETL), ETL Pipelines, Quality Assurance, KPI Reporting, Python (Programming Language)
Experience

Alumni Relations Assistant - Comet Call Engagement
Richardson, Texas, United States
- Engaged with university alumni through outbound calls to strengthen alumni relationships and support institutional initiatives - Documented call outcomes, conversation notes, and alumni feedback within internal systems and databases - Maintained accurate records and updated alumni contact information, ensuring data quality and completeness - Applied professional communication and active listening skills to handle diverse conversations and inquiries - Collaborated with team leads and followed structured scripts and compliance guidelines during outreach campaigns - Contributed to engagement metrics and outreach reporting by tracking call activity and response patterns

Data Analyst Intern
Plano, Texas, United States
- Built end-to-end data workflows integrating multi-source datasets (donor systems, program tracking, financial records) to create a single source of truth for leadership reporting. - Implemented data quality checks, validation rules, and anomaly detection logic to proactively identify inconsistencies in donor contributions and program metrics before reporting cycles. - Collaborated closely with cross-functional stakeholders (operations, finance, regional leadership) to gather requirements and translate business questions into scalable data models and KPIs. Optimized complex SQL queries and reporting logic, improving query performance and dashboard refresh times, enabling faster decision-making for time-sensitive leadership reviews. - Automated recurring reports and analytics workflows, eliminating manual Excel-based processes and significantly reducing the risk of human error in regulatory and board reporting. - Developed documentation and data dictionaries to improve transparency, onboarding efficiency, and long-term maintainability of analytics assets. - Supported executive presentations and board reviews by providing clear narratives, trend analysis, and root-cause insights backed by data.

Graduate Research & Analytics Projects
Richardson, Texas, United States
- Led advanced, end-to-end analytics projects involving large, multi-dimensional datasets, applying Python, advanced SQL (CTEs, window functions), and statistical analysis to solve complex, open-ended business and operational problems. - Designed and implemented normalized analytical data models and scalable transformations, performing feature engineering, data validation, and optimization to support reliable downstream reporting and analysis. - Architected a cloud-native healthcare analytics platform on AWS, leveraging serverless, pay-as-you-go services to deliver a cost-effective and highly scalable solution suitable for organizations of varying sizes. The platform emphasized security, privacy, and compliance, aligning with HIPAA and GDPR standards for sensitive healthcare data. - Developed interactive, data-driven workflows (e.g., symptom analysis and appointment scheduling logic) to enhance patient engagement and accessibility through analytical insights. - Executed Big Data analytics projects using Apache Spark, processing and analyzing high-volume datasets across distributed environments and multiple data sources. Implemented Spark-based transformations and aggregations to improve performance and scalability beyond traditional single-node systems. - Designed workflows enabling data ingestion and access across multiple devices and endpoints, supporting both batch and near-real-time analytics use cases. - Performed exploratory data analysis (EDA) to uncover trends, correlations, and key drivers, and communicated findings through clear visualizations, dashboards, and executive-style presentations for technical and non-technical audiences.

Business Analyst
Bengaluru, Karnataka, India
- At CDAC, I work at the intersection of people, process, and technology helping government and public sector teams solve real-world problems through smart, scalable digital solutions. - My role as a Business Analyst involves more than just writing requirements. I listen deeply to understand user pain points, collaborate with stakeholders to shape project goals, and work closely with developers to turn those goals into working systems that serve millions. - Whether it’s an e-Governance initiative, a national health tech platform, or a cybersecurity solution, I act as the bridge translating complexity into clarity, and ideas into impact. - What I love most about this role is the purpose behind the work. Every project has the potential to touch lives across India, and I’m grateful to play a small part in that transformation.
Nivas Verelli's Contact Information
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