Raghnya Valluru
Boston
Summary
Results-driven Operations Business Analyst at Wayfair, adept at leveraging Python and AI to achieve a 70% reduction in scams, saving over $8 million. Proven expertise in ETL pipeline design and data modeling, complemented by strong collaboration skills, driving impactful business insights and operational efficiencies.
Overview
3
3
years of professional experience
Work History
Operations Business Analyst
Wayfair
Boston
12.2024 - Current
- Managed a program of over $400 million that reduced scams by 70% and saved over $8 million on return monetization.
- Deployed AI-driven damage detection (Gemini LLM) to reduce returns on junk items with no recovery saving $3m in operational costs
- Engineered automated reporting pipelines, ensuring real-time visibility into key drivers. of performance.
Business Intelligence/ML Developer
Grand Circle Corporation – Overseas Adventure Travel
01.2023 - 06.2024
- Engineered ETL pipelines using Azure Data Factory, Informatica, and Snowflake to process multi-terabyte datasets for BI insights, and operational dashboards.
- Applied AI-driven call transcript analysis (using Gong) to reduce unnecessary service calls, unlocking over $2 million in cost savings.
- Collaborated with Branding & Email Campaign teams to make service staffing decisions and increase FCR (first call resolution) by 20%
Education
Master of Science - Business Analytics
Northeastern University
Boston, MA01.2022
Bachelor of Technology - Electronics and Communication Engineering
Gandhi Institute of Technology and Management
Hyderabad, India01.2019
Projects Overview
- Revenue Intelligence Platform, Grand Circle Travel, 01/01/23, Designed an end-to-end analytical solution (Snowflake to Tableau) to process large transcript datasets. Identified call patterns that reduced support workload and improved customer experience.
- A/B Campaign Performance, DailyBeast, 10/01/20, Built dashboards to synthesize A/B testing results into actionable insights for stakeholders. Enabled marketing, product, and design teams to optimize campaign KPIs and performance.
Technical Skills
Python, PySpark, SQL (BigQuery, Snowflake, Redshift, Oracle), R, Regression (linear/logistic), Classification, Clustering, Time Series (ARIMA, Prophet), Feature Engineering, Sentiment Analysis, NLP, Deep Learning (Keras, TensorFlow basics), AWS (S3, EC2, Redshift, DynamoDB), Azure Data Factory, Informatica, Tableau, Power BI, Looker Studio, ETL pipeline design, data modeling, multi-TB transformations, data validation
Timeline
Operations Business Analyst
Wayfair
12.2024 - Current
Business Intelligence/ML Developer
Grand Circle Corporation – Overseas Adventure Travel
01.2023 - 06.2024
Master of Science - Business Analytics
Northeastern University
Bachelor of Technology - Electronics and Communication Engineering
Gandhi Institute of Technology and Management
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