Sai Pavan Abhisekh V.

About Sai Pavan Abhisekh V.

Experienced data professional with 5+ years of expertise in data warehousing, data modeling, data visualization, data mining and statistical analysis. As a data enthusiast, I am committed to leveraging data to drive better business decisions and create value for organizations. I possess the skills and knowledge required to help organizations turn their data into actionable insights.I have a strong foundation in developing and maintaining data infrastructure, creating and running data pipelines, and managing databases. I am skilled in Python and SQL and I am comfortable working with cloud technologies AWS and Azure. I also possess experience with a variety of data tools such as Tableau, Power BI, DBT, SSIS, and SSRS.I completed my Master’s in Data Analytics from Northeastern University. My coursework includes Database Management & Database Design, Data Warehousing and Business Intelligence, Cloud Computing, User Experience Design, Software Quality Assurance, and Data Science Engineering Methods and Tools. Having such a wide variety of coursework provides the ability to think on the business requirement which would help to get a better approach to solve challenging problems.I am fascinated to work in the field of data. I am a self-motivated and dedicated individual who believes in working towards the betterment and benefit of the Organization. I am proactive, good problem solver and quick learner. I have intellectual curiosity and a drive to find and answer questions that the data presents, but also answer questions that were never asked. I would like to work in an environment where talent and hard work are given the utmost.

Experience

1. Analytics Engineer

   Gateway Solutions Inc

   Jul 2025 — Present · Kansas City, KS, US

   Queried, cleaned, and transformed large datasets using PostgreSQL and MySQL, creating analytical datasets to support reporting, financial monitoring, and operational decision-making.• Built interactive dashboards in Power BI and Looker Studio to visualize KPIs, enrollment trends, customer segments, and regional performance metrics, reducing manual reporting by over 50%.• Developed automated Excel reporting templates using Power Query and dynamic formulas, reducing manual data preparation time by 40% and improving accuracy across weekly reports.• Conducted structured market and competitor research using APIs, public datasets, and internal data sources to support strategic planning and program evaluation for clients.• Designed data validation checks, profiling reports, and transformation logic to ensure accuracy, completeness, and consistency across multi-source datasets.• Collaborated with stakeholders to define data needs, clarify business questions, and translate requirements into analytical workflows and reporting frameworks.• Supported onboarding of new client projects by preparing datasets, documenting data flows, configuring access permissions, and validating initial data loads.

Education

• Northeastern University

  Master's degree, College of Professional Studies in Data Analytics

• Vellore Institute of Technology

  Bachelor of Technology - BTech