Mani Sai Pottumurthi
Data Analyst @JPMorganChase
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WORK HISTORY
Data Analyst @JPMorganChase
US
Using Agile methodologies to manage end-to-end data analysis projects, ensuring on-time delivery and alignment with organizational objectives. Leveraging Python and libraries like Pandas, NumPy, and PySpark to automate data cleaning, transformation, and preprocessing tasks, reducing manual effort by 50% and improving workflow efficiency. Designing and implementing scalable ETL pipelines using Visual Studio Code and Databricks, integrating diverse data sources to streamline data processing and enhance system performance. Creating interactive dashboards and visualizations using Tableau, Power BI, and Matplotlib/Seaborn to communicate actionable insights, enabling data-driven decision-making for stakeholders. Developing and maintaining robust SQL-based data integration packages using SQL Server Integration Services (SSIS), ensuring seamless data flow across Oracle RDBMS, Microsoft SQL Server, and Snowflake. Conducting advanced analytics and predictive modeling to identify trends, segment customers, and support strategic business initiatives. Executing ETL processes on AWS RDS, Redshift, and Google BigQuery to integrate and optimize data across cloud platforms, improving data accessibility and consistency. Ensuring data integrity and quality by implementing robust data validation and cleaning processes, reducing errors by 30% and enhancing reliability. Partnering with cross-functional teams to define KPIs, deliver insights, and drive data-informed strategies, contributing to a 15% increase in operational efficiency
EDUCATION
University of South Florida Muma College of Business
Master's degree, Business Administration and Management, General
Vignan's Foundation for Science, Technology & Research
Bachelor's degree, Computer Science
ABOUT MANI SAI POTTUMURTHI
Completed Master’s in Business Analytics and Information Systems at the University of South Florida, where I’m deepening my expertise in data analytics, automation, and cloud technologies. Passionate about transforming raw data into meaningful insights, I thrive on optimizing business processes, enhancing decision-making, and driving operational efficiency. With 3 years of experience in data analytics and BI, I specialize in Power BI, SQL, Python, and AWS. I’ve designed interactive dashboards, automated ETL workflows, and built predictive models that enable businesses to make smarter, data-driven decisions. Professional Highlights:Power BI & Data Analytics: Designed and implemented dashboards that boosted revenue by 15% and reduced data refresh times by 40%.SQL & Data Transformation: Extracted and transformed CRM data, improving reporting accuracy by 20%.Machine Learning & Predictive Insights: Developed a customer churn prediction model with 85% accuracy, helping businesses retain high-value customers.Cross-Functional Collaboration: Worked closely with sales and engineering teams to define KPIs, enhancing decision-making efficiency by 25%. Technical Strengths & Achievements: Cloud & ETL Automation: IBM Cloud & Red Hat Cloud Migration Certified, with expertise in SQL-based ETL workflows. Business Intelligence & AI: Built predictive models and dashboards that drive business success. Project Leadership: Contributed to customer retention models, sales analytics solutions, and automation frameworks that improve efficiency. Certifications: Red Hat Cloud Migration Certification
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