Data Analyst - Python, SQL, AWS, Tableau, Power BI

Sindhura Banda

DATA ANALYST

TX, USA 640-***-**** ***********@*****.*** LinkedIn

SUMMARY

Data Analyst with 4+ years of experience applying Python, SQL, R, and Scala to analyze, clean, and transform large datasets, delivering accurate insights to support business and operational decision-making.

Strong expertise in data cleaning, data wrangling, data transformation, and ETL processes, leveraging tools such as SSIS, Alteryx, Informatica MDM, and cloud platforms to ensure high-quality, reliable data pipelines.

Experienced in statistical analysis and data modeling, including regression analysis, hypothesis testing, ANOVA, probability distributions, confidence intervals, A/B testing, forecasting, clustering, and classification.

Proficient in developing interactive dashboards and data visualizations using Tableau, Power BI, Advanced Excel, Matplotlib, Seaborn, and ggplot2 to deliver clear data storytelling and actionable insights to stakeholders. SKILLS

Methodologies: SDLC, Agile, Waterfall

Programming Language: Python, SQL, Scala, R

Packages: NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, TensorFlow, Seaborn, ggplot2 Visualization Tools: Tableau, Power BI, Advanced Excel (Pivot Tables, VLOOKUP) Cloud Technologies: AWS (EC2, S3, Redshift, Athena, Glue, DynamoDB), Azure, Snowflake Database: MySQL, PostgreSQL, MongoDB, SQL Server, Oracle Other Technical skills: Machine Learning Algorithms, ETL Tools, Statistics, ServiceNow, SSIS, SSRS, Alteryx, Probability distributions, Confidence Intervals, ANOVA, Hypothesis Testing, Regression Analysis, Linear Algebra, Data Mining, Data Visualization, Data warehousing, Data transformation, Data Storytelling, Business Analysis, Clustering, Classification, Regression, A/B Testing, Forecasting & Modelling, Data Cleaning, Data Wrangling, Informatica MDM, Jira, UAT, JAD, Git, GitHub, Visual Studio Code, PyCharm WORK EXPERIENCE

JPMorgan Chase & Co, TX Data Analyst Jan 2024 - Present

Architected and supported AWS-based financial data platforms (Athena, Glue) including data lakes and warehouses. Used cloud services for scalable storage, ETL processing, secure access, and analytics performance optimization by 30%.

Built and deployed interactive Tableau dashboards presenting key financial KPIs such as revenue, profitability, cost analysis, and risk exposure. Enabled data-driven decision-making for senior leadership.

Applied SciPy for advanced statistical analysis, hypothesis testing, and numerical optimization in finance-focused modeling and forecasting scenarios. Leveraged scientific computing capabilities to enhance precision, and performance of analytical solutions.

Leveraged Pandas extensively for financial data cleaning, transformation, aggregation, and reconciliation. Prepared high-quality datasets for reporting, forecasting, and machine learning workflows. Ensured consistency across multiple data sources by 20%.

Managed Jira for end-to-end tracking of analytics project tasks, defects, and enhancements within finance-focused initiatives. Actively managed sprint backlogs, workflow statuses, and issue resolution to ensure timely delivery and adherence to Agile processes.

Developed and optimized complex SQL queries, CTEs, views, and stored procedures to analyze financial transactions, balances, and revenue data. Worked across multiple relational databases to support regulatory reporting, reconciliations, and performance analytics.

Collaborated extensively in Agile/Scrum environments delivering financial data solutions through sprint planning, backlog grooming, daily stand-ups, and retrospectives. Enabled rapid delivery of analytics features while maintaining data quality and business alignment.

Designed and executed A/B tests on financial products and reporting workflows to evaluate the impact of process and feature changes, analyzed test results using statistical methods to drive data-backed decisions and optimize business performance. Infosys, India Data Analyst July 2020 – Dec 2022

Utilized Python for healthcare data processing, analytics, automation, scripting, and data manipulation, leveraging libraries and frameworks to support data analysis, statistical modeling, and end-to-end analytical workflows.

Worked with Oracle databases to support enterprise-level healthcare data storage, management, and querying, worked with structured healthcare datasets to enable reliable data retrieval, integrity, and analytical processing across systems.

Performed regression analysis techniques to healthcare datasets to examine relationships between dependent and independent variables. Utilized statistical modeling methods to ensure analytical accuracy through proper model selection & interpretation of results across 40%.

Implemented AWS DynamoDB to design and manage NoSQL data stores for healthcare applications, supporting low-latency data access, high availability, and scalable data operations within cloud environments

Generated reports and dashboards using Power BI by integrating healthcare data from multiple sources. Applied data modeling techniques, relationships, and DAX calculations to structure datasets for analytical reporting.

Utilized Amazon Redshift as a cloud data warehouse to store and analyze large-scale healthcare datasets, including claims and clinical data, Optimized data models and queries to support high-performance analytics and reporting for operational and clinical stakeholders.

Performed comprehensive data cleaning on healthcare datasets, including patient records and claims data, by handling missing values, outliers, duplicates, and inconsistencies, ensured high data quality and reliability to support accurate reporting and analytics.

Maintained GitHub repositories to support collaborative healthcare analytics development, including code versioning and repository management, Used GitHub for managing branches, pull requests, and code reviews within healthcare data projects. EDUCATION

Master of Science in Information Systems and Technologies - University of North Texas, Texas, USA Jan 2023 – Dec 2024 Bachelor of Technology in Computer Science and Engineering - JNTU, Hyderabad, India Jul 2018 – Jun 2022

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