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SARVANIP

Data Analyst • Maryville, MO, USA • s*************@gmail.com • +16******013 • linkedin.com/••••• • drivetube.ai/•••••

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

Programming Languages: Python,R,Bash,VBA
Web Technologies: REST APIs
Frameworks and Libraries: Pandas,NumPy,Scikit-learn,XGBoost,Matplotlib,Seaborn
Databases: SQL,Oracle,PostgreSQL,MySQL,MongoDB,Snowflake,SQL Server,Amazon Redshift
Cloud and DevOps: AWS S3,AWS Glue,AWS Redshift,AWS EC2,Azure Data Factory,Azure Functions
Data and Analytics: Power BI,Tableau,QlikView,PowerPivot,Excel,Apache Spark,Hive,Hadoop
Tools and Methodologies: Apache Airflow,dbt,SSIS,Talend,Informatica
Business Intelligence & Reporting: DAX,Power Query,PivotTables
Automation & RPA: UiPath Studio,UiPath Orchestrator,Microsoft Power Automate
AI & Generative AI: Claude AI,Google Gemini,OpenAI,Prompt Engineering,RAG,LLM Evaluation
APIs & Integration: SQL Stored Procedures
Domain Expertise: Healthcare Analytics,Clinical Trial Data,Financial Services Analytics,Portfolio and Trade Reporting

Work Experience

Truist Bank
Remote
Data Analyst
Oct2025 – Present
Worked at a banking and financial services firm supporting analytics, AI-driven automation, and reporting for operational and sales workflows.
Tech Stack: Claude AI, Google Gemini, Power BI, PowerPivot, DAX, SQL, Python
  • 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.
Anthem Inc.
United States
Data Analyst / Business Analyst
May2024 – Sep2025
Worked in healthcare analytics supporting clinical trial, EHR, and large-scale member/claims reporting and data engineering for health services.
Tech Stack: Python, SQL, AWS Glue, Amazon Redshift, S3, Power BI, SQL Server
  • 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.
Millennium Intech Pvt. Ltd.
India
Jr. Data Analyst
Jan2019 – Dec2022
Provided analytics and reporting for financial services and trading operations; built dashboards, reconciliation processes, and compliance reporting.
Tech Stack: SQL, Python, Power BI, Tableau, SQL Server, Stored Procedures
  • 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

Northwest Missouri State University
Master of Science, Computer Science • Maryville, MO • 2023
GITAM University
Bachelor of Engineering, Electronics & Communication • Bangalore, India • 2021

Certifications

AWS Certified Data Analytics – Specialty — Amazon Web Services • 2023
Microsoft Certified: Azure Data Scientist Associate — Microsoft • 2023
Google Data Analytics Professional Certificate — Coursera • 2022

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