Sirisha Palla Power BI | Looker | Looker Studio | Tableau | SQL
1 Review

Hi! I’m a Data Science professional with over 2 years of experience and a Master’s degree in Data Science. I help students and professionals with assignments, projects, and learning topics like Python, Excel, SQL, Machine Learning, Power BI, Tableau, and Looker.
I provide clear, correct, and well-explained solutions. I make sure you understand the work if you’re interested in learning too. For teaching, I use simple language, real examples, and go at your speed.
I’ve helped many students complete their assignments on time, improve their grades, and learn tough topics more easily. I also support working professionals in learning tools for their jobs
I’m easy to talk to, quick to respond, and always aim to deliver quality work on time. I make sure you feel supported and stress-free.
Feel free to reach out—happy to help!

Subjects

  • Python Beginner-Expert

  • Looker Beginner-Expert

  • Excel (Advanced) Beginner-Expert

  • Power BI Dashboards Beginner-Expert

  • Google Looker Studio Beginner-Expert

Experience

  • BI Lead (Apr, 2024–Present) at MNC
    Drove performance optimization initiatives, reducing report processing times by up to 94% through strategic data model redesigns and DAX optimization.
    Owned data modeling standards, guiding the implementation of Star and Snowflake schemas to ensure scalable, maintainable, and business-aligned analytics solutions.
    Oversaw the stability and quality of BI environments, resolving high-impact reporting issues and preventing downtime across multiple client-facing dashboards.
    Guided the adoption of Microsoft Fabric capabilities, including OneLake-based reporting, PySpark-driven data ingestion, and automated refresh orchestration using Data Pipelines.
    Established controlled deployment practices by implementing Power BI Deployment Pipelines, enabling structured promotions across Dev, Test, and Production environments.
    Led report-level modernization efforts, transitioning Power BI reports from on-premises data sources to Fabric Lakehouse connections using DirectQuery to improve freshness and performance.
    Implemented data quality monitoring frameworks, defining threshold-based checks and configuring alerts via Data Activator to proactively identify and address data issues.
    Ensured end-to-end data accuracy by backtracking KPIs to the lowest data grain and reconciling results across OneLake Lakehouse and SQL Server sources.
    Directed the development of stakeholder-facing dashboards, translating business requirements into actionable insights across domains such as Supply Chain, Finance, Device History, Utilities, and R&D.
    Reviewed and guided LookML development and SQL validation practices, ensuring consistency, correctness, and alignment with analytical best practices.
    Mentored and onboarded BI team members, enabling independent dashboard delivery and improving overall team productivity.
    Partnered cross-functionally with AI/ML teams, Data Engineers, Product Owners, and UX teams to align analytics initiatives with broader business objectives.
    Operated within an Agile delivery model, prioritizing BI initiatives, managing parallel workstreams
  • BI Engineer (Jan, 2023–Mar, 2024) at MNC
    Improved Power BI performance by 94% by optimizing data models and refining DAX measures, reducing report processing time from 3 minutes to 10-15 sec
    ● Designed and implemented both Star and Snowflake schema data models across Power BI and Looker projects, optimizing for performance, maintainability, and business logic reuse.
    ● Resolved 30+ critical Power BI bugs under tight deadlines, preventing downtime and ensuring consistent, reliable reporting.
    ● Built and configured a Microsoft Fabric notebook using PySpark to collect daily Intune device data via Microsoft GraphAPI using tenant credentials; appended data to a OneLake Lakehouse, automated refresh via Data Pipelines, and integrated with Power BI Desktop and Service for daily reporting
    ● Implemented Power BI Deployment Pipelines in Microsoft Fabric to establish a controlled release process, leveraging parameters and deployment rules for seamless promotion across Dev, Test, and Prod environments.
    ● Migrated Power BI reports from on-premises data sources to Microsoft Fabric Lakehouse Databases by updating data source connections, enabling DirectQuery connection by improving report performance and data freshness.
    ● Developed data quality monitoring and alerting solutions by creating threshold-based checks and configuring alerts using Data Activator, enabling proactive issue detection and faster response
    ● Performed end-to-end data validation for Power BI reports by backtracking metrics to the lowest grain and reconciling results across OneLake Lakehouse and SQL Server.

Education

  • Data science (Aug, 2022–May, 2024) from Loyola Academy Hyderabad–scored 9.5

Fee details

    ₹200–1,000/hour (US$2.11–10.53/hour)

1 Review
5 out of 5

User Photo June 11, 2025
Payment verified US$ 170

Professional at Looker Studio

She went above & beyond with her assist with this Project. She clarified the content & delivered an awesome product.. I am excited about working with her in the near future!

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