Jun 2022 – Mar 2024 · 1 yr 9 mos · Hyderabad, Telangana, India

• Roles and Responsibilities:
• Led an end-to-end data analysis project, from requirements gathering to production deployment, for CD Valet (a FinTech product of Seattle Bank) and a US Healthcare client.
• Facilitated effective communication with stakeholders to understand business needs and translated them into technical specifications for report development.
• Modeled data to build robust semantic models from diverse data sources (e.g., Google Analytics, MongoDB, Azure SQL Database) into Star, Snowflake, or Fact Constellation schemas.
• Developed complex DAX measures, implemented Row-Level Security (RLS), optimized report performance, managed Power BI licensing, prerequisites for embedding reports to Web and REST API integrations for scalable deployment.
• Conducted comprehensive functional and data testing by writing SQL scripts to ensure data accuracy and consistency between reports and the data lake.
• Automated report distribution by developing a solution in Power Automate to export reports in .pbix format to end users, enhancing efficiency and reducing manual overhead.
• Delivered Allocation and Revenue Summary reports for internal Workforce Management and Operations teams, driving measurable improvements in team productivity.

Apr 2022 – May 2022 · 1 mo · Hyderabad, Telangana, India

• Upskilled in key data technologies during a structured Data Bootcamp, focusing on foundational concepts and hands-on practice in Data Warehousing, Python, SQL, Data Analytics with Tableau, Power BI Fundamentals, Cloud Computing on Azure, and Git.
• Dedicated time to strengthen core competencies and build a strong technical foundation, which enabled a smooth transition into a full-time role.

Feb 2022 – Feb 2022 · 0 mo

• Analyzed Facebook ad campaign performance data from the Marketing team to identify underperforming campaigns and recommend cost-saving actions.
• Recommended discontinuation of a specific campaign based on insights derived from key metrics.
• Designed and refined data visualizations in Tableau, applying best practices to clearly communicate findings and support strategic decisions.

Dec 2021 – Jan 2022 · 1 mo

• The tasks assigned were prediction using supervised and unsupervised Machine learning
• Performed the tasks on Google Colab using Python libraries like NumPy, pandas for data analysis and matplotlib, seaborn for data visualization
• Helped fellow interns with task evaluation and solved the student queries in TSF network as a student mentor