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Tejasree Bussa
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Data analyst
United States
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Résumé
Jobs
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Data AnalystWorkatoJul 2023 - May 2024 (11 months)• Conducted data analysis using SQL and analyzed root cause on data using Snowflake identifying key insights driving improvements in operational process by 30%. • Generated reports on Tableau, analyzing data to inform decision making processes, resulting in a 20% improvement in operational efficiency and performed ETL processes to ensure data integrity and reliability utilizing R programming, resulting in further enhancing efficiency in data management workflows. • Monitored data qualities, created customer reports by designing and implementing custom metrics and dashboards and sending them to Datadog and communicating insights to stakeholders for more effective business strategies.- Data AnalystAccentureMay 2020 - Aug 2022 (2 years 4 months)• Developed and implemented over 100 KPIs and 30+ unified tables across business modules for the enterprise's independent companies using PowerBI and SQL, all of this provided comprehensive insights and visualized data for decision makers. • Facilitated the loading of large volumes of data using Power BI's integration capabilities, implementing data with 60+ Odata API validations, resulting in a 30% improvement in data quality. • Created SSAS models and SSIS packages for more than 80+ tables for analytics about the project costs and project timelines assisting the enterprise to make informed decisions through robust data analytics. • Streamlined data extraction and organization from MySQL, PostgreSQL, SQL server databases, utilizing SQL
Education
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- Master of ScienceSan Jose State UniversityAug 2022 - May 2024 (1 year 10 months)
- Bachelor of TechnologyCVR College of Engineering
Projects (professional or personal)
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- DData Warehouse Implementation & AnalysisDeveloped Leveraged Google Cloud Composer to architect and design over three scalable environments, establishing a Virtual Private Cloud network for Cloud SQL, Implemented ETL pipeline processes and DAGs, optimizing workflow efficiency and ensuring secure and scalable data processing. Created a comprehensive dashboard to analyze financial revenue trends in food sector using BI and snowflake, extracted large datasets from various sectors for dashboard including revenue growth, profit margins, sales trends, market performance resulting in 20% improvement in strategic business. Developed an end-to-end LLM chatbot application using OpenAI langchain libraries. Spreadheaded integration of pinecone vector database, enhancing semantic search. Devel
- FFinancial Trends Dashboard in Food sector
- SSynthia a Generative Chatbot
- CCredit Score classification