Pradeep Annapareddy
Business Data Analyst at Jpmorganchase
Based in Fairfax, United States
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Seniority
Staff
Department
Information Technology
Location
Fairfax
Industry
Financial Services
Company size
222K
Contact information
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p•••••••@jpmorganchase.com
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Background
About Pradeep Annapareddy
Accomplished Financial Data Analyst with 3 years extensive experience in transforming complex financial data into actionable insights. Skilled in developing comprehensive financial models and reports that drive strategic decision-making. •Proficient in enhancing operational efficiency through data analysis and reporting solutions. Adept at collaborating with cross-functional teams to optimize financial performance and deliver measurable results. •Skilled in developing automated reconciliation workflows and predictive models that have improved reporting accuracy by 15% and forecasting precision by 12%. Adept at designing executive dashboards in Power BI and Tableau, enabling 20% faster decision-making. •Demonstrated ability to perform exploratory data analysis (EDA), A/B testing, and integrated KPI tracking by merging Salesforce and Google Analytics data, directly contributing to revenue growth and campaign optimization. •Proficient in Python, R, SQL, and PL/SQL for developing robust data pipelines, automating data extraction and transformation, improving data processing efficiency by 20%, and supporting advanced statistical analysis and reporting. •Experienced in data cleaning, wrangling, mining, transformation, validation, and root cause analysis, ensuring 99% data accuracy and consistency for reliable business logic implementation across multiple projects. •Advanced proficiency in Power BI (DAX, Power Query), Tableau, and Excel (Pivot Tables, Power Pivot, VLOOKUP) to design and automate KPI dashboards, reports, and data storytelling presentations that improved stakeholder engagement and decision-making efficiency. •Strong background in managing relational databases including MySQL, PostgreSQL, and Microsoft SQL Server, optimizing queries, and maintaining data integrity to support complex business analytics requirements. •Utilized key Python libraries and frameworks including Pandas, NumPy, Matplotlib, Seaborn, and basic Scikit-learn to conduct exploratory data analysis, feature engineering, and build preliminary machine learning models aiding in data-driven solutions. •Proficient with Alteryx, Power Automate, Google Analytics, and Salesforce reporting tools to streamline data workflows, automate reporting processes, and integrate marketing and sales data for comprehensive business insights. •Strong cross-functional collaborator with finance, accounting, and operations teams in Agile environments, consistently delivering data pipelines, reporting solutions, and strategic recommendations aligned with organizational goals.
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