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Data Analyst Power Bi

Location:
New York City, NY
Salary:
$75000
Posted:
October 10, 2025

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Resume:

USA 469-***-****

DATA ANALYST ************@*****.***

SUMMARY

• Data Analyst with 5 years of experience in healthcare, finance, and retail industries, leveraging advanced analytics to drive business insights and process improvements.

• Proficient in utilizing SQL, Python, and SAS to extract, clean, and transform large datasets (over 10TB) from multiple sources, ensuring data accuracy and consistency.

• Created real-time Power BI and Tableau dashboards to visualize KPIs and trends, improving stakeholder decision- making and increasing visibility into business performance.

• Developed and deployed machine learning models for forecasting and classification tasks, improving demand forecasting accuracy by 30% using Python (Scikit-learn) and TensorFlow.

• Hands-on experience with AWS (S3, Redshift, Athena) and Azure for cloud-based data storage, processing, and analysis, ensuring scalable and cost-effective data solutions.

• Strong background in data warehousing, data lake architecture, and database management using various systems including Teradata, MySQL, PostgreSQL, and MongoDB. TECHNICAL SKILLS

Programming: Python (Pandas, NumPy, Seaborn, Matplotlib), R, SQL Data Visualization & Analysis: Tableau, Power BI, Excel (Pivot Tables, VLOOKUP, Solver), Google Data Studio Databases & Warehousing: Microsoft SQL Server, MySQL, AWS Redshift, AWS S3, Snowflake, Google BigQuery ETL & Data Engineering Tools: PySpark, Azure Databricks, SSIS, Talend, Informatica SDLC Methodologies: Agile (Scrum, Kanban, User Stories, Sprint Planning, Retrospectives), Waterfall Analytical & Statistical Skills:

Data Cleaning, Data Mining, Exploratory Data Analysis, Statistical Analysis, Regression

(Linear/Logistic), Forecasting, Hypothesis Testing, A/B Testing, Gap Analysis, SWOT Analysis, Impact & Risk Analysis, Cost-Benefit Analysis Business Analysis Skills:

FRD, BRD, SRS, Use Case Diagrams, User Stories, BPMN, Process Mapping, Requirement Elicitation, Stakeholder Management, UAT, Compliance & Traceability Project & Collaboration Tools: JIRA, Confluence, MS SharePoint, Git, MS Office Suite (Excel, PowerPoint, Word) Soft Skills:

Critical Thinking, Problem Solving, Communication, Data Storytelling, Collaboration, Cross-functional Facilitation

PROFESSIONAL EXPERIENCE

Senior Data Analyst Baylor Scotts & White Health, USA Aug 2023 – Present

• Led an initiative aimed at optimizing patient admission and claims management workflows, focusing on reducing approval times, minimizing administrative inefficiencies & accelerating care delivery within hospital’s network.

• Utilized SQL to extract and aggregate large volumes of admission, billing, and claims-related data from multiple clinical and financial databases, ensuring accurate and timely access to datasets for operational analysis.

• Designed Tableau dashboards to visualize critical healthcare KPIs, including admission wait times, claim denial rates, and departmental throughput, enabling real-time insights for hospital administrators and clinical directors.

• Applied Python (Pandas, NumPy) for preprocessing raw patient and claims data, handling missing values, outliers, and normalization, reducing data preparation time by 40% and improving downstream model accuracy by 15%.

• Streamlined patient and claim workflows through data-driven insights, achieving a 20% reduction in processing delays across hospital departments within three months of project rollout.

• Analyzed recurring issues leading to claim denials and admission bottlenecks, recommending operational improvements that reduced denial rates by 15% and accelerated patient discharge cycles.

• Automated recurring healthcare reporting tasks, reducing manual reporting efforts by 10+ hours weekly and enabling staff to focus on higher-value clinical and financial analyses.

• Developed supervised ML models to predict claim denials and admission risks based on historical hospital data, improving early identification of at-risk cases by 30% and reducing denials by 20% through proactive intervention.

• Implemented AWS Lambda-based ETL processes to automate ingestion and transformation of admission, billing, and claims data, enabling serverless, on-demand data pipelines.

• Ensured strict adherence to HIPAA guidelines during patient data handling, reinforcing security and compliance standards across the analytics ecosystem.

• Collaborated with clinicians, data engineers, business analysts, and product owners in daily standups and sprint reviews, ensuring alignment on project milestones and proactive resolution of roadblocks. Data Analyst Wipro, India Jan 2019 – Jun 2022

• Extracted over 50 million financial transaction records from relational databases using SQL, ensuring data integrity and completeness, which reduced extraction errors by 95% and improved processing efficiency by 30%.

• Engineered key financial features such as transaction frequency, merchant category, location, and spend thresholds using Python-based feature engineering, creating meaningful inputs for fraud detection models.

• Integrated the machine learning fraud detection model into Wipro’s client-facing transaction monitoring system, enabling real-time flagging of suspicious transactions for compliance and fraud prevention teams.

• Improved overall fraud detection accuracy by 18%, reducing undetected fraudulent activities and helping financial institutions mitigate potential monetary losses.

• Designed Power BI dashboards to visualize fraud metrics including flagged transactions, transaction amounts, and detection accuracy, enabling executives to monitor financial risks in real time.

• Automated real-time prediction workflows by deploying a Python script that integrated the trained ML model with live transaction streams, reducing fraud detection latency by 40% and improving prediction accuracy by 20%.

• Optimized ETL workflows using parallel and batch processing techniques to handle rapidly growing transaction volumes, ensuring pipeline scalability and high-performance analytics for regulatory audits.

• Enforced data security and compliance by implementing role-based access control (RBAC) and managing identities with Azure Active Directory (AAD), ensuring restricted access to sensitive financial data.

• Leveraged Apache Spark for distributed processing of over 100 million financial records, boosting fraud detection workflow performance by 60% and enabling scalability to process 3x more transactions concurrently. Business Analyst Birlasoft, India Oct 2018 – Dec 2019

• Facilitated requirements documentation using Confluence, translating regulatory mandates into functional artifacts, ensuring traceability across sprints and aligning stakeholders from product, compliance, and IT in development cycles.

• Designed Use Case Diagrams to capture end-to-end banking workflows, clarifying cross-system interactions between loan origination platforms and payment gateways, which improved clarity for downstream development and QA teams.

• Conducted Gap Analysis on financial reconciliation processes, identifying system limitations and business redundancies, which drove redesign initiatives that reduced manual interventions by 2% and streamlined monthly reconciliation cycles.

• Validated service endpoints using Postman, creating automated test collections for REST APIs and SOAP services, which ensured seamless integration across treasury platforms while minimizing defect leakage during UTA phases.

• Coordinated testing cycles with HP ALM/QC, managing requirement coverage matrices, logging defects & ensuring closure timelines, enabling governance across 17 modules and strengthening audit-readiness for regulatory reviews.

• Performed portfolio stress testing using Excel Solver, modeling outcomes & sensitivity variables that empowered treasury executives to evaluate 14 market scenarios while enhancing forecasting accuracy investment portfolios.

• Collaboration, fostering alignment between business units and IT teams by simplifying complex financial concepts into actionable deliverables, ensuring consensus on priorities and accelerating project milestones within deadlines. EDUCATION

Master of Sciences in Management Information Systems Aug 2022 - May 2024 University of Houston, C.T Bauer College of Business, TX Bachelor of Technology Aug 2017 - Jul 2021

SASTRA Deemed University, India



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