Data Analyst

VENKATA SAI CHARAN

************@*****.*** (***)- 369-8664 LinkedIn

(Open to Relocate)

SUMMARY

Experienced Data Analyst with 5 years of experience in SQL, Python, Power BI, Tableau, and cloud platforms (AWS, Azure, GCP). Skilled in ETL workflows, data migration, automation, and predictive analytics, optimizing reporting efficiency and decision-making. Expertise in big data (Snowflake, Spark, Databricks), API integration, and scalable data pipelines, driving 30% efficiency gains. Proven success in health, manufacturing and financial services, enhancing insights through advanced analytics and GenAI tools. Certified in AWS Cloud, SQL, Power BI, Tableau, and Agile methodologies, with a proven track record of delivering AI-powered insights, actionable dashboards, and solving complex business problems through data-driven strategies. Actively seeking new opportunities to leverage analytics to solve complex business challenges makes it relevant.

SKILLS

●Databases: Snowflake, Microsoft SQL Server, PostgreSQL, MongoDB

●Programming & Query Languages: Python (Pandas, NumPy, Matplotlib, Scikit-learn, Seaborn), SQL, DAX

●Data Visualization: Power BI, Tableau, Looker Studio, Qlik Sense

●ETL & Data Engineering: SSIS, Azure Data Factory, AWS Glue

●Cloud Platforms: AWS (Redshift, Glue, S3, EC2), Azure (ADF, Databricks, Azure SQL), GCP (BigQuery, Looker Studio)

●Big Data & Streaming: Apache Spark, Kafka, Hive, Databricks

●GenAI & Automation: LangChain, OpenAI API, ChatGPT, Prompt Engineering, RAG Pipelines, API Integration

●Analytics & Machine Learning: Regression, Classification, Clustering, NLP, A/B Testing, Feature Engineering

●Collaboration: Git, Jira, Confluence, Docker

●Productivity Tools: Microsoft Excel (Advanced), Visual Studio Code, PyCharm

PROFESSIONAL EXPERIENCE

PAYPAL INC Oct 2023 - Present

Business Intelligence Data Analyst Baltimore, MD

PayPal’s finance and compliance teams required scalable analytics solutions to improve transaction accuracy, automate reporting, and strengthen fraud detection.

●Designed and deployed enterprise-grade financial dashboards (Power BI, SSRS) tracking revenue growth, refund volumes, and dispute resolution trends, reducing executive reporting cycles by 40%.

●Created SQL-based anomaly detection scripts and reconciliation checks, improving transaction integrity and cutting errors by 18% across payment and refund data pipelines.

●Developed fraud risk and payment failure KPI models with DAX and SQL, enabling leadership to identify emerging patterns, saving millions in potential fraud exposure.

●Automated ETL workflows using Python (Pandas, NumPy) and SQL, reducing dashboard refresh cycles and improving ad-hoc analysis response time by 50%.

●Defined and standardized 7 core KPIs in collaboration with Finance, Compliance, and Risk teams, creating a single source of truth for cross-departmental reporting.

●Built star-schema data models combining SQL Server, Excel, and API data sources, resulting in faster drill-down analysis and improved user adoption.

●Led analytics documentation and sprint planning in Git, Jira, and Confluence, improving delivery traceability and agile adoption.

ANTHEM Sept 2022 - Sept 2023

Analytics Engineer – Cloud & ML Baltimore, MD

Anthem required scalable data analytics solutions to enhance business intelligence and patient care insights. The goal was to improve operational reporting, enable clinical forecasting, and support regulatory and financial teams with trusted and timely data.

●Designed scalable ETL pipelines with Spark and Azure Data Factory, cutting data transformation latency by 45% and enabling faster insights for utilization and claims teams.

●Migrated on-premises data warehouses to AWS Redshift and Azure SQL, improving query performance by 60% and reducing reporting backlogs.

●Built self-service dashboards in Power BI, Tableau, and Looker Studio, visualizing admission rates, claims cycle times, and readmission trends, accelerating decision-making by 30%.

●Automated claims data cleansing and aggregation using Python scripting and stored procedures, saving 25+ hours/week in manual operations.

●Developed robust data models (star schema) to support drill-through reporting and facilitate ad-hoc analytics by non-technical teams.

●Partnered with product, engineering, and compliance teams to implement HIPAA-compliant data handling workflows, strengthening security posture.

●Produced risk stratification dashboards to optimize care coordination and population health programs, reducing avoidable costs.

●Maintained end-to-end documentation and sprint planning in Confluence and Jira, improving onboarding and audit readiness.

HONDA June 2020 – June 2022

Data Analyst – BI & Automation Hyderabad, India

Honda sought to modernize its operational analytics infrastructure, enhance quality control reporting, and reduce fraud and warranty costs through intelligent automation and real-time monitoring.

●Processed warranty and telemetry data with SQL and Python, improving data accuracy across manufacturing analytics.

●Built data pipelines, reducing latency of machine sensor processing by 60%.

●Created dashboards in Tableau for downtime and defect analysis, reducing manual reporting by 40%.

●Developed fraud detection models for warranty claims (30% improved fraud accuracy) and applied NLP on claims narratives to identify root causes.

●Integrated SAP ERP data into BI systems, improving alignment between manufacturing and reporting teams.

PROJECTS

FraudDetect 360

●Built real-time fraud detection models using Random Forest and XG Boost, achieving 92% accuracy by integrating behavioural and transactional features via SQL and Python.

●Designed Power BI and Tableau dashboards for live risk scoring, leveraging AWS Glue and Apache Spark to reduce fraud processing time by 40%.

RetentionIQ

●Developed K-Means clustering models and PCA to identify high-risk customer segments with 85% churn prediction accuracy across behavioural and transactional datasets.

●Optimized Azure Data Factory pipelines and built interactive Power BI dashboards to monitor churn trends and campaign effectiveness, cutting refresh time by 30%.

AWARDS, RECOGNITION, CERTIFICATIONS

●SQL Mastery

●Power BI Data Analyst Associate

●AWS Cloud Practitioner

●Tableau Data Analyst Specialist

EDUCATION

UNIVERSITY OF MARYLAND, BALTIMORE COUNTY Maryland, US

MS in Data Science (GPA: 3.6/4.0)

MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY Hyderabad, India

B.Tech in Computer Science Eng. (GPA: 8.2/10.0)

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