Dhanu Anurshetru

• Designing Power BI operational dashboards to surface real-time KPIs across business units, enabling leadership to identify process bottlenecks 3x faster than prior manual review cycles • Building automated data pipelines to consolidate cross-departmental reporting, reducing ad-hoc data requests and reclaiming an estimated 5-8 hrs/week of analyst capacity • Partnering with ops and finance teams to define KPI frameworks, translating ambiguous business questions into structured SQL queries, calculated fields, and visual reports

• Developed a RAG-based AI chatbot using LLaMA3 and LangChain to automate data queries for faculty and admin stakeholders, reduced manual analysis workload by 40% and cut query response time from hours to seconds • Built Python-based financial and operational forecasting models that projected $50K-$150K annual revenue shifts per physician and informed department-level budget decisions for 5+ academic units • Designed interactive Tableau dashboards tracking enrollment trends, budget utilization, and operational KPIs used by leadership for quarterly planning and resource allocation decisions • Automated recurring SQL-based reporting workflows, reducing manual data preparation time by 40% and improving data pipeline reliability across 3 business functions

• Analyzed 10M+ CDRs and billing transaction datasets to uncover behavioral patterns and anomalies, enabling proactive product fixes that contributed to $1M+ in cost savings across telecom operator deployments • Performed data review and reconciliation on 450+ issues using backend logs and SQL queries, delivering actionable recommendations to Engineering and Product teams • Built automated SQL pipelines and custom validation tools, reducing manual analysis time by 40% and improving reporting efficiency across global operations

• Prepared monthly, quarterly, and ad-hoc reports on SLA adherence, incident trends, and system KPIs for senior stakeholders, reducing reporting time by 70% • Managed 5 key enterprise accounts, resolving long-pending client issues including cases unresolved for 2+ years • Automated day-to-day monitoring tasks using SQL workflows, reducing manual interventions and improving operational efficiency

Pursuing a data-driven journey at one of the top public research universities in the U.S., I completed my Master’s in Business Analytics with a focus on data modeling, statistical analysis, AI-driven automation, and business intelligence. Coursework: Data Warehousing, Machine Learning, Data Visualization, Applied AI, Python Programming, Supply Chain Analytics. Achievements: - Completed a practicum project with UBMD on acute care surgery financial forecasting. - Worked with Buffalo Prep on a social mobility study using Power BI dashboards. - Built AI-powered applications using RAG architecture and local LLMs for personalized recommendations.

Completed my undergraduate journey with a deep focus on core computer science fundamentals, software engineering, and systems development. This experience laid the foundation for my analytical and problem-solving mindset, which I later expanded through professional experience and graduate study. Core Areas: Data Structures, Algorithms, Database Management Systems, Operating Systems, Software Engineering, Web Technologies. Achievements: - Built and deployed a final-year capstone project on Document Summarization using NLP and Python. - Represented the university in inter-college tech fests and coding hackathons. Activities and Societies: - Member of Inner Wheel Club – served as International Service Organizer (ISO), leading community events and outreach. - Volunteered for college-level social and technical initiatives.