Dhanu Anurshetru
Data Analyst | Turning 10M+ records into decisions | SQL · Python · Gen AI (RAG/LLaMA3) · Power BI | Open to roles
- Role
- Operations Analyst at Keelworks Foundation
- Location
- Buffalo, NY, US
- LinkedIn followers
- 500 followers
About Dhanu Anurshetru
I\'ve analyzed over 10 million telecom records, built AI chatbots that replaced 40% of manual work, and designed dashboards that helped executives make faster, better decisions.That\'s what data analysis looks like when it actually matters.Over 4+ years across telecom, higher education, and operations, I\'ve learned that the best analysis isn\'t the most complex one, it\'s the one that changes a decision. My work sits at the intersection of business intelligence, machine learning, and now generative AI.Here\'s what I\'ve shipped:→ Detected revenue leakage across 10M+ telecom records, improving fraud detection accuracy by 12% and supporting $1M+ in cost avoidance at Subex→ Built ETL pipelines and automated SQL workflows that reduced manual analysis time by 40% and accelerated client issue resolution→ Developed a RAG-based AI chatbot (LLaMA3 + LangChain) that automated data queries for academic stakeholders, cutting response time from hours to seconds→ Created financial and operational models forecasting $50K–$150K annual shifts per surgeon and boosting CSA retention by 25%→ Designed Tableau and Power BI dashboards that empowered leadership teams to optimize scheduling, inventory, and customer engagementMy stack: SQL · Python · Power BI · Tableau · dbt · BigQuery · Apache HOP · LangChain · LLaMA3 · Excel · MLCurrently working as an Operations Analyst at Keelworks while actively looking for Data Analyst or Analytics Engineer roles, ideally in a team that treats data as a product, not a report.If you\'re building that kind of team, I\'d love to talk - d••••••••@gmail.com
Experience
Operations Analyst
Aug 2025 — Present · US
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
Education
University at Buffalo
Master's degree, Business Analytics
Visvesvaraya Technological University
Bachelor of Engineering - BE, Computer Science
2017 — 2021
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