SARVANIP
Professional Summary
Data Analyst with 5+ years of experience in business analytics, AI-driven solution implementation, and data-driven decision-making. Skilled in SQL, Python, Power BI, and ETL engineering; experienced in sales analysis, clinical and financial analytics, inventory optimization, and stakeholder management to deliver actionable insights and automation.
Technical Skills
Work Experience
- Led stakeholder discovery sessions to map business workflows and identify AI-driven automation opportunities using Claude AI and Google Gemini, driving a 30% improvement in operational efficiency.
- Gathered and translated business requirements into AI solution specifications, user stories, and acceptance criteria to align technical delivery with business objectives and reduce implementation gaps.
- Designed and executed UAT test cases for AI-powered solutions validating prompt outputs and tracking defects, raising AI output quality and user adoption by 25%.
- Built PowerPivot dashboards with DAX to analyze seasonal sales trends and recommended promotional strategies that increased off-season revenue by 18%.
- Developed prompt engineering strategies and evaluation workflows for Claude AI, Google Gemini, and generative AI tools to improve response accuracy and consistency across business processes.
- Supported workflow automation and process improvement initiatives by producing process documentation, performance dashboards, and SDLC-aligned testing artifacts to accelerate deployments.
- Analyzed clinical trial and EHR datasets using Python and SQL across 10+ active studies, reducing data processing time by 25% and enabling near-real-time reporting for research teams.
- Built automated ETL pipelines with AWS Glue and Python to ingest and standardize clinical data from EHR, lab systems, and CRO feeds, reducing manual data-entry errors by 30%.
- Optimized data architecture in AWS Redshift and S3, tuning schemas and distribution to improve query performance by 40% for large-scale member and claims analytics workloads.
- Partnered with clinical research and biostatistics teams to design data collection protocols and deliver data-driven insights that informed drug development decisions.
- Mentored 8+ junior analysts on Power BI, Python scripting, and statistical analysis best practices, accelerating team output and analytic maturity by 20%.
- Built reporting pipelines and dashboards to operationalize clinical and claims metrics, enabling leadership to monitor program performance and compliance.
- Analyzed daily financial and trading data using SQL and Python to support portfolio reporting and business decision-making for fund managers.
- Built interactive Power BI and Tableau dashboards for portfolio performance, NAV tracking, and trade analysis used by business stakeholders for daily monitoring.
- Developed SQL stored procedures to automate trade reconciliation reports, improving reporting accuracy and reducing manual effort by 40%.
- Cleaned, validated, and transformed large financial datasets to ensure high-quality reporting and consistent business metrics across dashboards.
- Supported audit and SEBI compliance reporting by maintaining accurate financial records, documentation, and reconciliation trails.
- Improved reporting processes by optimizing SQL queries and streamlining data extraction workflows to reduce report generation time and increase reliability.
Education
Certifications
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