Jayavardhan Reddy Samidi
Business Intelligence Analyst/Data Science at A.P.Moller - Maersk| Python | SQL | Machine Learning | DataBricks | M.S in Data Science and AI @ FIU
- Role
- Business Intelligence Analyst Data Science at A.P. Moller - Maersk
- Location
- Miami, FL, US
- LinkedIn followers
- 500 followers
About Jayavardhan Reddy Samidi
Analytical Data Analyst with a strong background in transforming raw datasets into actionable business insights across diverse domains including finance, logistics, sales, marketing, and healthcare. Skilled in business intelligence reporting, data analysis, financial analysis, and data manipulation, with expertise in statistical methods, quantitative analysis, and ERP/BI systems. Proficient in SQL, Power BI, Tableau, and Python for building automated reporting solutions, optimizing ETL pipelines, and ensuring data quality across large datasets. Adept at designing modular workflows, applying data modeling techniques, and leveraging cloud-based platforms such as Azure and Databricks to deliver scalable, data-driven solutions. Passionate about enabling data-driven decision-making, improving reporting efficiency, and translating complex findings into clear insights for stakeholders at all levels.
Experience
Business Intelligence Analyst Data Science
Aug 2024 — Present · Miramar, FL, US
Automated Excel, Python, and Power BI workflows for large-scale operational datasets, reducing manual errors by 25% and increasing trust in reporting across business units. Designed and maintained SQL Server databases with optimized queries and stored procedures, and integrated SAP data into Excel-based templates, cutting global financial report preparation time by 40%. Analyzed market datasets with Python and Power BI, uncovering demand shifts that saved $2M+ annually through optimized resource allocation. Applied Python-based A/B testing and built SQL-driven Power BI models for dispute case data, reducing resolution time by 35% and improving customer satisfaction. Developed and deployed a LightGBM regression model via Azure ML, achieving 71% forecast accuracy and enabling proactive financial planning. Standardized ETL pipelines, SQL transformations, and Tableau workflows, reducing audit preparation time by 15% and strengthening compliance across finance and operations.
Education
Osmania University, Hyderabad
Bachelor of Technology - BTech
2018 — 2022
Florida International University
Masters
2023 — 2024
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