Over 9+ years of data analysis expertise, specializing in data visualization, strategic insights, and advanced analytics across multiple sectors.
Leveraged PostgreSQL and SQL for database management, supporting complex data extraction and query optimization across various analytics projects.
Utilized Microsoft Excel for advanced data manipulation and analysis, employing pivot tables, VLOOKUP, and macros to enhance data-driven decisions.
Developed interactive QlikView dashboards to monitor key performance indicators, facilitating real-time business intelligence and operational oversight.
Employed Apache Hadoop to process large datasets, using MapReduce jobs to improve data processing efficiency in multiple analytics initiatives.
Utilized Apache Spark for in-memory data processing, significantly speeding up analytics tasks and supporting complex data aggregation workflows.
Managed version control with GIT, ensuring data integrity and facilitating collaborative project management across distributed teams.
Implemented robust ETL processes using Informatica, automating data transformation and loading to streamline analytics workflows.
Created insightful Power BI reports and dashboards, integrating data visualization and business intelligence to guide strategic decision-making.
Analyzed data trends and patterns using SQL, supporting business strategy development and operational efficiency improvements.
Conducted in-depth statistical analysis using Python and SAS, applying machine learning algorithms to predict trends and optimize processes.
Constructed complex data models in MATLAB, enhancing simulations and predictive analytics for financial and operational applications.
Developed dynamic data visualizations using D3.js, enabling interactive reporting and more engaging presentations of data insights.
Facilitated requirement gathering and strategic meetings, aligning data analytics projects with organizational goals using Confluence.
Integrated Snowflake for cloud-based data warehousing, improving scalability and data retrieval speeds for enterprise-wide analytics.
Implemented AWS S3 for secure and scalable cloud storage, optimizing data management practices in largescale environments.
Utilized R and Tableau extensively to create comprehensive dashboards and reports, enhancing data visualization and stakeholder communication.
Applied Agile and SCRUM methodologies to manage end-to-end project lifecycles, ensuring timely delivery of data analytics solutions.
Performed competitive analysis using SPSS and Qualtrics, deriving market insights that informed business positioning and marketing strategies.
Managed CRM integrations and utilized Adobe Analytics for detailed customer behavior analysis, enhancing marketing effectiveness and customer engagement.
Analyzed customer data with Experian and employed Looker for advanced data querying and visualization, supporting targeted marketing campaigns.
Developed predictive models using AWS SageMaker, enhancing accuracy in forecasting and strategic planning within the healthcare sector.
Leveraged Apache Spark ALS for creating recommendation systems, improving personalization and customer service in retail and e-commerce.
Utilized Alteryx for data automation and integration, streamlining data workflows and improving operational efficiency in data-intensive projects.
Ensured robust, secure, and scalable data solutions in a regulated environment, proficient in AWS cloud technologies and best practices.
Engaged in continuous professional development to integrate emerging technologies in data analytics, maintaining a competitive edge in the industry.
Overview
9
9
years of professional experience
Work History
Sr. Data Analyst
Premier Inc
Charlotte, NC
10.2023 - Current
Implemented Amazon SageMaker to develop advanced predictive models that enhanced patient care effectiveness in the healthcare sector
Maintained and updated Tableau dashboards regularly, which tracked healthcare operational metrics and aided decision-making processes
Utilized AWS S3 to ensure secure and scalable data storage solutions, which significantly improved data management practices
Designed and automated data workflows using Alteryx, enhancing the efficiency and accuracy of the data processing
Managed the integration of AWS Recognition to analyze healthcare images and data, providing critical insights for patient diagnostics
Employed Apache Spark ALS in projects, improving the recommendation systems for personalized patient care strategies
Conducted detailed data analysis using SQL to manage healthcare databases, which ensured data integrity and accessibility
Utilized Microsoft Excel for complex data manipulations that facilitated the analysis of healthcare trends and financial metrics
Coordinated SharePoint and Confluence for effective project management and documentation, ensuring team alignment and collaboration
Developed and maintained AWS QuickSight dashboards for real-time data visualization, which enhanced operational visibility and strategic decision-making
Implemented AWS Redshift for advanced data warehousing capabilities, optimizing data storage and query performance
Leveraged R for sophisticated statistical analysis, providing deeper insights into complex healthcare data sets
Engaged in continuous professional development to keep abreast of advancements in AWS cloud technologies and machine learning applications
Collaborated with IT and data teams to enhance the infrastructure for data analytics, ensuring robust, scalable, and secure environments
Led cross-functional teams in the development and implementation of advanced analytics projects, aligning with organizational goals and patient needs
Facilitated training sessions for technical and non-technical team members, enhancing their understanding of new data tools and analytical techniques
Designed strategic approaches for data acquisition and utilization, ensuring optimal use of data in driving healthcare innovations
Provided expert insights during stakeholder meetings, presenting data-driven findings and recommendations to enhance healthcare services
Ensured compliance with healthcare regulations and standards in all data handling and processing activities, maintaining data privacy and security
Optimized data queries and processing using PostgreSQL and SQL, improving data access and analysis in healthcare applications
Mentored junior data analysts, guiding them through complex data projects and fostering a culture of continuous learning and improvement
Developed comprehensive documentation for all data analytics processes, ensuring clarity and accessibility of information for all project stakeholders
Evaluated and integrated new data analytics tools and technologies, enhancing the capabilities of the healthcare analytics platform
Troubleshot and resolved issues related to data analytics applications, ensuring minimal downtime and continued data availability
Managed the deployment of new data models and analytics platforms, overseeing the seamless transition and integration into existing systems
Data analyst
Northern trust
Chicago, IL
06.2021 - 09.2023
Analyzed financial markets using SQL and SPSS, identifying key market trends and investment opportunities
Utilized Qualtrics to gather comprehensive consumer and market data, informing strategic decisions and product offerings
Developed extensive financial reports and dashboards in Tableau, providing executives with actionable insights into market conditions
Managed CRM integrations to enhance customer relationship management, utilizing data from Adobe Analytics for targeted marketing strategies
Conducted ETL processes using AWS QuickSight to consolidate financial data from diverse systems, enhancing analysis and reporting capabilities
Employed Microsoft Excel for complex financial modeling, supporting budgeting, forecasting, and financial performance analysis
Leveraged Looker for in-depth financial analytics, delivering insights into customer behaviors, spending patterns, and operational risks
Implemented Microsoft SQL Server for efficient data storage and querying, ensuring high availability and data integrity
Developed predictive models using Python, accurately forecasting financial trends and optimizing investment strategies
Documented all financial analytics processes and outcomes, maintaining records for regulatory compliance and audits
Engaged with financial stakeholders to discuss findings and strategize on data-driven business initiatives
Coordinated with IT to enhance data security measures, ensuring the protection of sensitive financial information
Provided training and support to financial teams on new analytics tools, elevating their data handling and analysis skills
Assisted in resolving issues with financial analytics applications, ensuring continuity and reliability of financial data services
Managed the integration of new data sources into the existing financial analytics framework, broadening the data landscape
Developed use cases demonstrating the functionality and benefits of financial analytics applications, facilitating user adoption
Participated in SCRUM meetings to ensure timely delivery of analytics projects, adhering to agile project management methodologies
Conducted regular audits of financial data and analytics processes, ensuring accuracy and adherence to established standards
Facilitated cross-functional meetings to ensure that financial analytics initiatives aligned with overall business strategies
Developed strategies for optimizing data storage on AWS S3, achieving cost-effectiveness while maintaining scalability and security
Led the design and implementation of new analytics features in financial software, enhancing user experience and analytical capabilities
Provided expert advice on financial data governance, ensuring compliance with industry regulations and standards
Monitored and analyzed new developments in financial analytics technology, recommending tools that align with strategic business goals
Business Analyst
Kroger
Cincinnati, OH
12.2019 - 05.2021
Led data analytics initiatives using SQL and R to uncover retail sales trends, enhancing strategic merchandising and marketing decisions
Developed comprehensive retail dashboards in Tableau, monitoring sales performance, inventory levels, and customer buying patterns
Implemented Snowflake for efficient data warehousing, improving data storage, retrieval, and analysis capabilities across retail operations
Utilized AWS QuickSight for dynamic retail data visualization, providing real-time insights to support operational and strategic decisions
Applied Agile methodologies to manage and deliver analytics projects on time, ensuring alignment with seasonal retail cycles and promotions
Managed extensive retail data documentation processes, ensuring accuracy and compliance for internal audits and regulatory requirements
Collaborated with retail teams to implement data-driven business recommendations, optimizing product placements and pricing strategies
Conducted statistical analysis using R, identifying customer behavior patterns that informed targeted marketing campaigns and product launches
Facilitated requirement gathering sessions with stakeholders to ensure that retail analytics projects aligned with business needs
Developed predictive models using historical data to forecast sales trends, helping to optimize inventory management and reduce stockouts
Provided training on new retail analytics tools and methodologies to team members, enhancing their capabilities and improving project outcomes
Documented all phases of retail analytics projects, ensuring clarity and continuity for ongoing and future analytics initiatives
Assisted in the selection and implementation of new retail analytics technologies, ensuring compatibility and integration with existing systems
Managed data security and compliance for retail analytics projects, adhering to industry standards and protecting sensitive customer information
Coordinated with IT and data teams to resolve technical issues and enhance the performance of retail analytics applications
Monitored and evaluated new developments in retail analytics technologies, recommending tools that offer competitive advantages
Led discussions with senior management on retail analytics findings, influencing corporate strategy and operational adjustments
Assisted in the development of use cases for retail analytics applications, demonstrating their functionality and business value
Engaged in continuous professional development to stay informed about advancements in data analytics and retail technologies
Supported the integration of AWS S3 for scalable and secure data storage solutions, enhancing data management capabilities in the retail environment
Business Analyst
Algoworks
Noida, India
07.2017 - 09.2019
Analyzed business data trends using SQL and Python, providing insights that supported strategic planning and decision-making
Created predictive models using SAS to forecast business outcomes, enhancing accuracy in strategic and operational planning
Developed and maintained business dashboards using Tableau, monitoring key performance indicators and facilitating data-driven decision-making
Facilitated detailed statistical analysis using MATLAB, providing deeper insights into business operations and market conditions
Managed comprehensive business analytics documentation to ensure accuracy and accessibility of information for all stakeholders
Collaborated with cross-functional teams to understand and meet business needs, aligning analytics projects with strategic objectives
Conducted business requirement gatherings to ensure that analytics solutions met organizational needs and added value
Utilized D3.js to develop dynamic data visualizations, presenting complex business data in an accessible and engaging format
Engaged in collaborative teamwork to enhance the capabilities and reach of business analytics within the organization
Delivered data-driven business recommendations based on comprehensive analysis, supporting executive decision-making and strategic planning
Participated in meetings to discuss and refine business analysis processes, ensuring alignment with organizational goals
Managed version control using GIT, maintaining data integrity and facilitating effective collaboration across analytics projects
Supported the development of new business analytics methodologies and technologies, enhancing the organization's analytical capabilities
Ensured compliance with data governance standards in all business analytics projects, maintaining the integrity and security of business data
Provided insights into customer behaviors and market conditions, supporting targeted marketing strategies and business development efforts
Assisted in the training of new analysts on business analytics tools and practices, enhancing team skills and project outcomes
Managed data insights projects to provide actionable business intelligence, supporting strategic and operational decision-making
Documented business analysis processes and outcomes for stakeholder review, ensuring transparency and accountability in analytics projects
Data Analyst
FuGenX Technologies
Hyderabad, India
10.2015 - 06.2017
Managed PostgreSQL databases, utilizing SQL for complex data queries and analysis to support strategic business insights
Developed and maintained Microsoft Excel spreadsheets for advanced data manipulation, aiding in the analysis of business performance metrics
Created interactive data visualizations in QlikView, tracking and reporting key business metrics to support strategic decision-making
Utilized Apache Hadoop and Spark for large-scale data processing and analysis, enhancing the organization's data analytics capabilities
Maintained version control with GIT, ensuring data consistency and integrity across multiple data projects and team collaborations
Developed ETL processes using Informatica, enhancing data integration and quality for analytics and business intelligence projects
Created comprehensive Power BI dashboards to visualize and analyze business data, providing insights that drove strategic business decisions
Documented analytics processes and results for technical and non-technical stakeholders, ensuring clarity and accessibility of information
Supported the implementation of analytics solutions to meet business objectives, providing technical expertise and project management
Assisted in the development of new data analysis techniques and methodologies, enhancing the organization's analytics capabilities
Participated in team meetings to discuss data needs, project progress, and strategic objectives, ensuring alignment and collaboration
Managed data visualization projects, providing actionable insights through dynamic and engaging graphical representations of data
Assisted in the selection and implementation of new analytics tools and technologies, ensuring compatibility and integration with existing systems
Ensured compliance with data security and privacy regulations in all data handling and analysis activities, protecting sensitive information
Facilitated the training of team members on data analytics tools and methodologies, enhancing skills and improving project outcomes