Business Analyst Power Bi

ARAVIND KUMAR THUPILLY

Boston, MA +1-617-***-**** ********************@*****.*** https://www.linkedin.com/in/aravindkumar-thupilly/ https://github.com/Aravind16-ai

PROFESSIONAL SUMMARY

Agile Business Analyst with 3+ years of experience driving data-driven solutions across healthcare, insurance, and IT domains. AI-powered fraud detection, automating 85% of claims reviews and saving $150k annually, while optimizing agile methodology to boost sprint efficiency by 15% and reduce defects by 25%. Expert in SQL, Python, Tableau dashboards, Azure DevOps, Power BI, Confluence, and Agile Frameworks, with a track record of building real-time dashboards that cut systems failure by 35% and accelerated decision-making by 30%. Trusted for delivering end-to-end solutions analysis and systems design to testing, reporting, and continuous improvement.

PROFESSIONAL EXPERIENCE

Kyros Consulting Group Jan 2025 – Present

Role: Business System Analyst Delaware, USA

• Delivered bi-weekly sprint-end reports for stakeholders, improving visibility into team velocity and reducing sprint delays by 20% through data-driven insights and detailed performance notations. Facilitated Agile ceremonies and tracked sprint deliverables using Azure DevOps, improved delivery rate from 80% to 95%.

• Led process optimization initiatives by analyzing business requirements and workflows, identifying inefficiencies in claims adjudication systems, and documenting streamlined procedures cutting rework by 30% and improving compliance with regulatory standards.

• Drafted and maintained detailed functional & non-functional documentation requirements in Confluence, reducing requirements ambiguities by 40%.

• Orchestrated cross-functional workshops to align business units, IT, and vendors on system enhancements, improving process transparency by 40% and accelerating solution delivery.

• Collaborated with QA testers, developers and product owners to refine user stories, test cases, and technical solutions, reducing defect leakage to production by 25%. Led cross-functional meetings with business, dev, and QA teams, ensuring technical solutions met business goals & reducing misalignment issues by 35%, effectively translating business requirements into decision support tools.

• Supported change management by revising and validating workflows based on stakeholder feedback and systems enhancement cycles.

Franklin Templeton Investment Client: Apollo FMS Sep 2022 – Aug 2023 Role: Business Systems Analyst Hyderabad, India

• Coordinated testing activities for Fire Alarm Systems (FAS) and environmental sensor monitoring (like UPS, smoke, humidity, temperature, power, water leak, etc.) across 250+ locations, validating alert accuracy and system response.

• Identified and categorized critical vs. non-critical alerts, ensuring timely escalation per established protocols, monitoring development, and improving response time by 45%, providing notations of performance deviations and anomalies.

• Utilized Tableau and Power BI to develop dashboards and visual reports, enhancing comprehension of alert trends to reduce system failure by 35% and improve system performance by 80%.

• Prepared and delivered bi-weekly presentations to the server security team, facilitating informed decision-making and providing key analytic consultation.

• Integrated Excel data pipelines into Power BI, saving 6+ hours/week by automating manual reports, demonstrating advanced knowledge of Excel and automation.

• Collaborated on the implementation of Beyond-Trust Privileged Remote Access (PRA) Project, improving secure remote device monitoring with cloud-based firewall integration. Bharat Biotech Jul 2021 – Jun 2022

Role: Data Analyst Intern Hyderabad, India

• Supported data integrity audits and implemented Python automation scripts to improve data reliability by 30%.

• Gathered business insights through structured advanced SQL queries.

• Created dashboards for sales and profitability reporting, contributing to revenue performance tracking and presenting key performance deviations.

PROJECTS AND EXPERIENCE

AI-Assisted Claims Triage Regulatory and Financial Management Project Mar 2025

• Led end-to-end development of an AI-powered fraud detection system that automated 85% of claims reviews, processing 30,000+ multi-source records with >99% data integrity, demonstrating ability to manipulate large sets of data.

• Engineered 6 SQL business rules to flag 150+ high-risk claims with 93% accuracy, reducing manual review time from 45 mins to <8 mins per claim and identifying performance anomalies.

• Optimized SQL performance via partitioning and indexing tables, improving query speed by 60% for large datasets, Showcasing advanced SQL knowledge & relational database expertise. ARAVIND KUMAR THUPILLY

• Built a real-time alert system (Python + MySQL) triggering fraud alert in <3 seconds, prioritized by risk tiers (Critical, High, Confirmed Fraud) and supporting rapid decision-making. Projected $150K annual savings by preventing false reimbursements and cutting labour costs, making data-driven recommendations.

• Developed automated test cases with synthetic data, achieving 100% validation across all fraud rules. Collaborated on a Tableau dashboard to visualize fraud trends and provide anomalies and alert distributions for stakeholders providing clear performance reports.

Clean Energy Solutions for Cear a, Brazil Python, ML, Tableau Jun 2024

• Analyzed large datasets to forecast renewable energy potential in Cear a, utilizing advanced data analytics and predictive modelling and applying statistical procedures.

• Designed a strategic roadmap for solar PV, offshore wind, and bioenergy deployment, performing risk and cost-benefit analysis. Collaborated with BIG, driving a 25% improvement in project efficiency and accelerating renewable energy adoption.

• Conducted risk assessment and forecast modeling using Python and Tableau, enhanced decision-making speed by 30%. Small-Size Object Detection ML, CNN, Python Feb 2024

• Pre-processed data using NumPy and Pandas, boosting model readiness and accuracy by 15%.

• Developed CNN models and refined hyperparameters, to improve detection precision by 25%.

• Balanced precision-recall trade-offs, enhancing overall model effectiveness by 20%. Energy Consumption Analysis ML, Python Dec 2023

• Improved data integrity by 40% through data audits and cleansing, ensuring accurate and reliable analysis.

• Evaluated predictive models, optimizing the balance between accuracy and interpretability for informed decision-making.

• Communicated complex insights to non-technical audiences, translating data into actionable recommendations using engaging Tableau visualizations to inform strategic decision-making. Fabrication Solar Powered EV Charging Station SolidWorks, CAD/CAM Apr 2022

• Led a team in a comprehensive planning project to evaluate the feasibility of state-wide solar-powered EV charging infrastructure, directly relating to multimodal transportation assets.

• Conducted extensive research and cost-benefit analysis on location selection, energy efficiency, and necessary repairs and maintenance schedules for new assets.

• Analysed federal and state regulatory impacts on the implementation of new transportation infrastructure.

EDUCATION

Master of Science – Business Analytics Hult International Business School Sep 2023 – Aug 2024 Relevant Coursework: Data Visualization & Analyzing with R, Business Analysis with structured and Boston, USA Unstructured data, Computational Data Analysis with Python, Advance SQL, Machine learning Bachelor’s in Mechanical Engineering St. Martin’s Engineering College Aug 2018 – Jul 2022 Relevant Coursework: Concentration in Statistics, Design Analysis, Operational Research, Hyderabad, India Structural Analysis, SolidWorks, Auto CAD/CAM

SKILLS & INTERESTS

Business/System Analyst: Data Analysis, Machine Learning, Statistical Analysis, Fraud Detection, Risk Scoring, Gap Analysis, AI training, Ability to Collaborate, Highly Motivated. Leadership, Teamwork, Organization, Communication, Quality Assurance, Regulatory Analysis, Program Evaluation, Data Visualization, Agile Frameworks, PAM (Beyond-Trust), Requirement Gathering, Strategy, Problem Solving, Communication Skills, Research & Analysis, Cost-Benefit Analysis, Stakeholder Engagement.

Technical: Power BI, Tableau, R, Python (NumPy, Pandas, Automation Scripts, Sci-kit learn, Matplotlib, Seaborn), Unit Testing, MS Excel (Pivot Tables, VLOOKUP), SQL (ETL, Advance Joins, CTEs, Indexing, Partitioning, Storing New Data, Query Optimization), Azure, AWS Quick-sight, Technical Writing, Data Warehousing & Modeling, Git, PowerPoint, Cloud Security

(Beyond-Trust), Query Tools, AutoCAD, SolidWorks, Relational Database, Cybersecurity Basics, Ability to Detail, Feedback, Statistical Software.

Certifications: Data/Business Analytics, Programming, Power BI Data Analyst, Foundation of Cybersecurity, Manage Security Risk.

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