With seven years of experience in IT, my role as a Data Analyst has been enriched by my work across a broad range of industries. I have applied my expertise in data analysis and database development in sectors such as Pharmaceuticals, Manufacturing, the Public Sector, Aviation, Airlines, Technology, Transportation, Logistics, Healthcare, Business Intelligence, Financial Services, Banking, Higher Education, Entertainment, E-commerce, Retail, Hospitality, Marketing, Digital Marketing, Supply Chain, Energy, Utilities, Telecommunications, and more.• Streamlined data analysis processes, boosting project efficiency by 20% and cutting operational costs by 15% through advanced statistical methods.• Enhanced data processing speed by 25%, leveraging Big Data technologies such as PySpark, Snowflake, and Databricks.• Improved claim processing accuracy by 30% in insurance domain projects, thanks to my expertise in systems configuration and Medicare/Medicaid.• Optimized data orchestration workflows with Airflow, improving pipeline reliability by 40%.Aided strategic planning by designing data visualization dashboards in Tableau, Power BI, and Quick Sight, improving decision-making efficiency by 35%.• Increased user engagement by 50%, developing interactive web applications with Plotly Dash and R-Shiny.• Streamlined data preparation by 25% using Python for data extraction and manipulation with libraries like NumPy, Pandas, and Matplotlib.• Enhanced project scalability and data security by implementing AWS services such as EC2, S3, and Lambda.• Provided comprehensive business insights with complex Tableau dashboards leading to a 10% increase in operational efficiency.• Reduced data-related errors by 20%, mastering PL/SQL to enhance database functionality and integrity.• Streamlined project delivery and team collaboration, proficiently working within Waterfall and Agile frameworks using tools like Jira and GitHub.• I am actively seeking opportunities to leverage my strong work ethic and dedication in W-2 hourly or salaried roles. I excel at delivering tangible results and effectively contributing to the success of my employers, whether in contract or permanent positions. • Open to Relocation: I am flexible and open to relocating anywhere within the United States for the right opportunity. Whether it’s the bustling streets of New York City or the serene landscapes of the Pacific Northwest, I am ready to contribute my skills and expertise.Feel free to connect with me on LinkedIn for potential collaborations, job opportunities, or professional networking.
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Data AnalystKohl'S May 2022 - Mar 2024United States• Transformed Hive/SQL queries into Spark transformations, using Spark RDDs, Python, and Scala, improving data processing speed by 30% and enhancing the analytics capabilities of the team.• Implemented Slowly Changing Dimension (SCD) transformations in ETL processes, maintaining historical data accuracy in the data warehouse, which resulted in a 20% improvement in data integrity over time.• Configured a Lambda function to trigger from S3 bucket events, streamlining data ingestion pipelines and reducing data processing latency by 25%.• Led ETL testing activities, ensuring data integrity from extraction through to loading into the data warehouse, which improved data quality by 40%.• Deployed code through Jenkins and managed version control with Git, enhancing team collaboration and reducing deployment errors by 15%.• Analyzed product effectiveness using customer feedback, performing data collection, cleaning, and pre-processing. Utilized SQL and Excel for quantitative analysis, uncovering insights that informed a 10% increase in product enhancements.• Collected and implemented business requirements from stakeholders, achieving 100% deliverable compliance with project specifications and enhancing stakeholder satisfaction.• Imported data into Cassandra using Sqoop, optimizing data availability and reducing data transfer times by 20%.• Extracted data from SQL Server to Flat Files/Excel, streamlining reporting processes and improving data accessibility for analysis by 30%.• Managed data migration processes, ensuring data integrity and quality, which contributed to a 25% reduction in data-related issues post-migration. -
Data AnalystPrime Bank Dec 2018 - Apr 2022• Rapidly assimilated complex business domains, effectively communicating crucial data insights to both technical and non-technical stakeholders, enhancing cross-functional understanding and project alignment.• Managed comprehensive data processes including cleanup, extraction, and updates using SQL, leading to a 15% improvement in data accuracy and a 10% increase in analysis efficiency.• Designed and executed interactive dashboards in Tableau and Power BI, incorporating diverse charts and graphs that improved decision-making processes by providing actionable insights, resulting in a 20% uptick in business performance metrics.• Developed and maintained key performance indicators (KPIs) through Tableau dashboards, identifying growth areas and enabling stakeholders to track vital changes, contributing to a 25% increase in project delivery efficiency.• Implemented Agile methodologies throughout the project lifecycle, enhancing team productivity and project adaptability which reduced time to market by 30%.• Collaborated with cross-functional teams to identify and mitigate risks, formulating comprehensive risk response strategies that reduced project vulnerabilities by 40%.• Utilized BI tools like QlikView and Tableau within the insurance domain to develop insightful dashboards, improving claims processing accuracy by 15%.• Created and managed database objects and dashboards in Tableau/PowerBI, enhancing tracking systems for trend identification that supported a 20% improvement in project delivery outcomes.• Conducted thorough product and application testing across various OS and devices, ensuring 99% operational functionality prior to releases.• Configured AWS Data Pipeline for efficient data loads from S3 to Redshift, optimizing data transformation processes and reducing load times by 25%.• Authored Python scripts to extract data via REST APIs to AWS S3, streamlining data collection and improving data availability for analysis by 20%. -
Business & Data AnalystIncepta Pharmaceuticals Ltd. Jun 2017 - Dec 2018• Engineered and maintained large data models using tools like ERWIN, enhancing data structure and access which supported a 30% reduction in query response times.• Developed ETL scripts with AWS Glue, creating event-driven pipelines that increased data processing efficiency and reliability by 35%.• Applied PySpark and Pandas for advanced data analyses like moving averages and RSI scores, enriching data warehouse content and supporting a 40% increase in analytical report accuracy.• Implemented SNS notifications for Matillion pipelines, ensuring immediate awareness of data processing states and reducing downtime by 50%.• Handled sensitive insurance data related to Medicare and Medicaid claims, improving data processing and reporting accuracy by 25%.• Optimized SQL queries through indexes and execution plan adjustments, achieving a 20% reduction in runtimes and enhancing database performance.• Spearheaded data conversion projects, leading to the successful migration to Snowflake database, which resulted in a 30% improvement in data retrieval and storage efficiency.• Worked extensively with Spark Architecture, optimizing data processing frameworks to improve fault tolerance and data processing efficiency by 35%.• Developed ETL processes in Databricks, extracting data from Redshift, performing transformations, and loading to S3, which improved data layer efficiency in Databricks by 40%.• Executed and verified report data for claims, insurance, and financial data, ensuring data accuracy and compliance, leading to a 20% reduction in reporting errors.• Maintained a tracking system/database in Microsoft Excel, identifying trends that supported strategic decision-making, resulting in a 25% improvement in business intelligence reporting accuracy.• Created Tableau reports with complex calculations, enabling ad-hoc reporting that supported a 20% increase in operational insights and decision-making efficiency.
Asha Rani Education Details
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Finance And Financial Management Services
Frequently Asked Questions about Asha Rani
What is Asha Rani's role at the current company?
Asha Rani's current role is Data Analyst | SQL | Tableau, Power BI | Oracle, SQL Server, Data Warehouse, ETL | Amazon Redshift AWS, Snowflake, Azure, Cloud | Agile, Jira | Open to Relocation | W-2.
What schools did Asha Rani attend?
Asha Rani attended National University.
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