Ashvita Chourey
Analytics at Avyxa | ex- Microsoft (ZS) | Masters @UIUC |Microsoft Certified Data Analyst |Business Intelligence Developer| Business Analyst | Women in Analytics
- Role
- Business Technology Associate Consultant at ZS
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Ashvita Chourey
Analytical and detail-oriented Business Analyst with around 5 years of experience leveraging tools like Power BI, Tableau, Python, and SQL to deliver actionable insights across advertising, operations, finance, and marketing domains. Skilled in ETL automation, dashboard development, and predictive modeling, with hands-on expertise in Azure, AWS, Snowflake, Synapse, and Informatica. Demonstrated success in streamlining analytics workflows, enhancing reporting accuracy, and supporting cross-functional teams through Agile and SDLC methodologies. Certified in Microsoft Power BI and Tableau Data Analysis, with project experience in machine learning models, ad revenue optimization, and credit risk prediction.
Experience
Business Technology Associate Consultant
Jun 2023 — Present · San Francisco, CA, US
Architected 6+ executive dashboards using Power BI, DAX, Power Query, and Azure Synapse to visualize KPIs and empower strategic decisions for Microsoft Azure campaigns.• Developed predictive models (XGBoost, Random Forest) using Python (pandas, scikit-learn, NumPy), helping identify top revenue drivers and onboard 10+ publishers to Microsoft Advertising.• Formulated A/B testing strategies with SQL, Azure DevOps, and Excel, enhancing targeting precision across 3 product categories.• Consolidated data inputs from Finance, Sales, and Marketing into a unified Snowflake and Azure Data Factory pipeline, aligning business reporting with stakeholder objectives.• Streamlined analytics workflows through ETL automation using Azure Data Factory and Python, reducing manual reporting time by 12 hours weekly.• Partnered with engineering and data science teams to verify forecast models using Tableau, SQL Server, and Databricks, influencing multi-million-dollar ad planning.• Built reusable campaign analysis templates using Python Notebooks, Matplotlib, and Seaborn, accelerating delivery during peak periods.• Maintained documentation in Confluence and version control via GitHub, facilitating onboarding of 3 analysts and enhancing cross-team synergy.
Education
University of Illinois Urbana-Champaign
Master of Science - MS, Information Management
Medi-Caps Institute of Science & Technology , AB Road, Pigdamber (Rau) Indore-453331
Bachelor of Engineering - BE, Computer Science
2015 — 2019
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