Beats by Dre

• Analyze customer surveys on wireless headphones, focusing on user preferences, pain points, and market trends to derive actionable insights.
• Utilize Tableau to create interactive dashboards and visualizations, presenting complex data in an accessible format for stakeholders.
• Conduct in-depth data exploration to identify key patterns and correlations, providing recommendations for product improvements and marketing strategies.
• Collaborate with cross-functional teams to understand business needs and translate survey findings into strategic recommendations.
• Monitor and report on key performance indicators (KPIs) related to customer satisfaction and product performance, aiding in data-driven decision-making.

Analytics Specialist

University of Maryland Baltimore County

 Reduced prescription-related costs by 15% using SQL and Python to identify trends and drive operational reporting insights.
 Increased dashboard usage by 30% by creating dynamic Tableau reports that displayed performance metrics and exception flags.
 Saved $500K annually by automating manual reporting tasks using Python and SQL to build reusable reporting logic.
 Boosted cross-functional collaboration by 25% by aligning insights with business logic for operational performance reviews.
 Enhanced predictive reporting accuracy by 25% using statistical forecasting models to monitor cost and claims behavior patterns.

Senior Reporting Analyst

WB Solutions LLC

 Boosted sales performance by 40% by analyzing pipeline reports and refining KPIs with SQL and Excel-based performance logic.
 Reduced reporting turnaround by 25% through ETL improvements and Power BI dashboards supporting faster access to KPIs.
 Standardized operational metrics across departments, improving reporting consistency and reducing manual data transformation errors.
 Increased decision-making efficiency by 30% using automated dashboards powered by Python and self-serve visualization tools.
 Improved forecast accuracy by 20% through implementation of regression-based models integrated with reporting metrics.

Senior Data & Insights Analyst

Perficient

 Cut data retrieval time by 40% by optimizing queries and integrating legacy reports into Databricks with automated validation.
 Maintained 98% data integrity by enforcing quality checks within Snowflake to ensure consistency across operational reports.
 Lowered data discrepancies by 25% by building audit workflows that checked calculated fields across multiple BI reports.
 Increased accessibility of real-time reporting by 30% by deploying reports with versioned business logic and metric traceability.
 Improved forecasting reliability by 30% by embedding trend analysis within core reporting views and predictive dashboards.

Technical Reporting Analyst

Index Analytics LLC

 Improved strategic decisions by 25% through SQL-based exploratory analysis of structured and semi-structured performance data.
 Enhanced reporting engagement by 20% with Tableau dashboards built for executives to monitor financial and operational KPIs.
 Boosted accuracy in projections by 30% by applying predictive techniques to operational metrics using Python and regression models.
 Streamlined performance tracking by automating weekly reports and aligning KPIs across functional departments.

Data Analyst

Cognizant Technology Solutions

 Cut UAT duration by 30% by designing test scripts and validating logic for recurring operational reports and dashboards.
 Improved data-driven decision-making by 25% by defining metrics and translating cross-functional requirements into technical KPIs.
 Saved time by 20% by automating daily reporting routines and enabling better performance monitoring through SQL scripting.

With a doctorate in business administration (business intelligence & data analytics) and a master’s in information systems from UMBC, I’ve always been driven by curiosity and a love for solving complex problems through data. My academic journey helped me build a strong foundation in analytics, machine learning, and cloud technologies, while also shaping my interest in transforming raw data into insights that fuel smarter decisions.

Professionally, I’ve led impactful projects across healthcare, finance, and technology domains. At UMBC, I reduced prescription costs by 15% and saved $500K annually by optimizing Medicare Part D workflows using SQL and Python. While at WB Solutions LLC, I boosted sales efficiency by 40% through operational data analysis and improved reporting speed by optimizing ETL pipelines. I also created interactive Power BI dashboards powered by Python, which drove user adoption and elevated decision-making. At Perficient Inc., I managed healthcare data migrations to Databricks with 98% data integrity, reducing retrieval time by 40% and enabling real-time analytics at scale.

Looking ahead, I’m seeking full-time roles in data science, business intelligence, or analytics where I can continue applying my skills to solve real-world challenges. I'm particularly excited by opportunities that allow me to build scalable data solutions, work with cloud platforms like Azure and Snowflake, and collaborate with cross-functional teams to drive strategic insights. My goal is to grow into a leadership role where I can shape data strategies and mentor emerging analysts.

If you're looking for someone who’s not just data-driven but impact-focused, I’d love to connect.

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Akarshika singhal

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