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I am a Data Analyst with 4 years of experience delivering actionable insights in various sectors such as healthcare, technology, and consulting. I specialize in automating reporting processes, improving data accuracy, and building predictive models to support impactful business decisions. I'm skilled at working across teams and navigating shifting priorities to deliver timely, decision-ready insights. I am passionate about optimizing processes and enhancing visibility into key trends through data storytelling and collaboration. I embrace new challenges in data analytics and continuously seek to advance my technical expertise and business acumen to drive measurable outcomes.…I am a Data Analyst with 4 years of experience delivering actionable insights in various sectors such as healthcare, technology, and consulting. I specialize in automating reporting processes, improving data accuracy, and building predictive models to support impactful business decisions. I'm skilled at working across teams and navigating shifting priorities to deliver timely, decision-ready insights. I am passionate about optimizing processes and enhancing visibility into key trends through data storytelling and collaboration. I embrace new challenges in data analytics and continuously seek to advance my technical expertise and business acumen to drive measurable outcomes.

Antariksh Ramesh

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I am a Data Analyst with 4 years of experience delivering actionable insights in various sectors such as healthcare, technology, and consulting. I specialize in automating reporting processes, improving data accuracy, and building predictive models to support impactful business decisions. I'm skilled at working across teams and navigating shifting priorities to deliver timely, decision-ready insights. I am passionate about optimizing processes and enhancing visibility into key trends through data storytelling and collaboration. I embrace new challenges in data analytics and continuously seek to advance my technical expertise and business acumen to drive measurable outcomes.…I am a Data Analyst with 4 years of experience delivering actionable insights in various sectors such as healthcare, technology, and consulting. I specialize in automating reporting processes, improving data accuracy, and building predictive models to support impactful business decisions. I'm skilled at working across teams and navigating shifting priorities to deliver timely, decision-ready insights. I am passionate about optimizing processes and enhancing visibility into key trends through data storytelling and collaboration. I embrace new challenges in data analytics and continuously seek to advance my technical expertise and business acumen to drive measurable outcomes.

Available to hire

I am a Data Analyst with 4 years of experience delivering actionable insights in various sectors such as healthcare, technology, and consulting. I specialize in automating reporting processes, improving data accuracy, and building predictive models to support impactful business decisions. I’m skilled at working across teams and navigating shifting priorities to deliver timely, decision-ready insights.

I am passionate about optimizing processes and enhancing visibility into key trends through data storytelling and collaboration. I embrace new challenges in data analytics and continuously seek to advance my technical expertise and business acumen to drive measurable outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Analyst at Elevance Health, CA, USA

February 1, 2025 - Present

Automated cost and utilization reporting using Python and SQL, cutting 20+ hours weekly and improving healthcare data accuracy by 35% across claims, clinical, and care management teams. Created Power BI dashboards with DAX and RLS, allowing real-time claim denial monitoring and reducing resolution time by 30% across service lines, helping reduce operational delays. Built Alteryx workflows integrating SAP HANA, Snowflake, and Redshift, improving ETL reliability by 40% and reducing late data refreshes during month-end and quarterly healthcare reporting cycles. Developed predictive models using Random Forest and XGBoost to identify high-risk members, enabling case management interventions that reduced patient readmission rates by 12% over two quarters. Ran A/B testing on outreach campaigns, identifying strategies that improved engagement rates by 18% and helped decrease missed preventive screenings by 7% in targeted member populations. Documented HIPAA-compliant workflows in Lucidchart, e

Business Analyst Extern at HP Tech Ventures, CA, USA

November 1, 2024 - September 3, 2025

Conducted market analysis to identify trends, assess competitors, and outline growth opportunities in the AI-driven productivity tools market, improving awareness of strategic fit for emerging investment areas. Designed automated reporting tools using SQL and Tableau, streamlining data visualization processes and reducing manual reporting time for portfolio tracking and competitive benchmarking presentations. Researched and sourced a startup aligned with investment thesis; conducted due diligence and drafted investment summary highlighting financial viability, product-market fit, and projected growth potential.

Data Analyst / SAP ABAP Developer at Capgemini, India

June 1, 2023 - September 3, 2025

Integrated SAP with PEGA and Mulesoft via RFCs, eliminating manual reconciliation steps and improving data transfer efficiency by 45% across finance, logistics, and external system interfaces. Delivered ABAP enhancements for Becton Dickinson, reducing report runtime by 30% and improving data availability for business users in inventory and production planning teams. Built ALV reports for production orders in SAP, improving tracking accuracy and helping reduce fulfillment errors by 22% for manufacturing and warehouse operations. Led technical walkthroughs and live demos, clarifying business logic and reducing post-validation changes by 35%, improving turnaround for testing and deployment cycles. Extracted planning data from SAP S/4HANA, structured logic for analytics teams, and contributed to a 15% increase in forecast accuracy across demand planning processes. Coordinated 20+ change requests across distributed teams during sprints, increasing sprint velocity by 25% and reducing delays

Data Analyst at Elevance Health

February 1, 2025 - Present

Automated cost and utilization reporting using Python and SQL, reducing over 20 hours of manual work weekly and improving healthcare data accuracy by 35%. Developed Power BI dashboards with DAX and row-level security, enabling real-time claim denial monitoring and reducing resolution times by 30%. Built reliable Alteryx ETL workflows integrating SAP HANA, Snowflake, and Redshift, increasing ETL reliability by 40%. Created predictive models using Random Forest and XGBoost to identify high-risk members, lowering readmission rates by 12%. Conducted A/B testing to enhance outreach campaign engagement by 18% and reduce missed preventive screenings by 7%. Documented HIPAA-compliant workflows, halving audit preparation times and facilitating compliance.

Business Analyst Extern at HP Tech Ventures

November 30, 2024 - September 3, 2025

Performed market analysis on AI productivity tools to identify trends and opportunities. Designed automated SQL and Tableau reporting tools that streamlined portfolio tracking and competitor benchmarking, reducing manual efforts. Conducted startup due diligence aligned with investment theses and prepared financial and growth potential summaries.

Data Analyst / SAP ABAP Developer at Capgemini

June 30, 2023 - September 3, 2025

Integrated SAP with PEGA and Mulesoft via RFCs, boosting data transfer efficiency by 45%. Delivered ABAP enhancements for Becton Dickinson, cutting report runtimes by 30% and improving data availability. Developed ALV reports to enhance tracking accuracy and reduce fulfillment errors by 22%. Led technical walkthroughs reducing post-validation changes by 35%, speeding testing and deployment. Extracted planning data improving forecast accuracy by 15%. Coordinated over 20 change requests across teams, increasing sprint velocity by 25% and minimizing rework and delays.