Tejaswini Bangalore Nagaraju
Sr Business Intelligence Analyst @Onto Innovation
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WORK HISTORY
Sr Business Intelligence Analyst @Onto Innovation
Milpitas, CA, US
Lead enterprise Master Data Management (MDM) program, defining governance policies, data quality standards, and stewardship practices to create a single source of truth for customer and vendor data.Product owner for a new onboarding application that automates customer/vendor updates and approvals, integrating seamlessly with the corporate ERP system and reducing onboarding cycle time by 50%.Architected and delivered a business intelligence layer on top of ERP data, enabling unified reporting across finance, procurement, and operations.• Designed and implemented an end-to-end analytics project from data architecture through semantic models, supporting self-service analytics for executives and operational teams.• Delivered a bronze, silver, and gold layered analytics framework to standardize raw ingestion, refined data, and curated business-ready datasets for Power BI and downstream applications.• Deployed agentic AI solutions for demand forecasting, supplier optimization, and automated anomaly detection.• Established a unified reporting layer using Power BI across multiple internal products, enabling executive-level dashboards and data-driven strategic decisions.Designed BPMN workflows for employee onboarding and termination processes, mapping approvals, tasks, and compliance checks, and led development of a dedicated onboarding/termination app integrating HRIS data.
EDUCATION
B. M. S. College of Engineering
Bachelor’s Degree, Electrical, Electronics and Communications Engineering
W. P. Carey School of Business – Arizona State University
Master’s Degree, Business Analytics
SKILLS
ABOUT TEJASWINI BANGALORE NAGARAJU
Every soul has an objective in life, it is their constraints and decision variables that determine their outcomes.As an inquisitive analyst, I am intrigued by the myriad of business possibilities that data presents. My interests are operations, data mining, predictive modeling, and data visualization. I believe that every complex problem has a simple solution when reinforced with right data.Right through under graduation-majoring in engineering and my prior work experience, I learnt to analyze the outcomes of every implementation and the importance of quality gates and processes. I developed excellent analytical skills and bettered my problem-solving abilities. Working with diverse customers and colleagues helped me enhance my people skills and collaborative skills.My graduate program-majoring in business analytics strengthened my analytical thinking and equipped me with data management skills including, • Preprocessing and analyzing large data sets and building deterministic and stochastic models for decision making using advanced Excel• Performing advanced statistical analysis to determine trends and periodicity significant data relationships• Data Mining concepts such as decision trees, random forests, linear regression, neural networks, clustering using AzureML • Data Warehousing skills such as slicing and dicing data, and OLAP querying • Creating dashboards to visualize the analysis using Tableau and PythonMy short-term career goal is to leverage on my experience to form a sound cognizance that will allow me to think laterally, create and implement well thought out ideas at a macro level. My long-term career goal is to drive the target audience towards better decisions with the aid of data science.
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