Data Analyst Business Intelligence

SAI ABHISHIKTHA NADAKUDITI

Data Analyst

**********@*****.*** +1-779-***-**** www.linkedin.com/in/sain24/ PROFESSIONAL SUMMARY

• Microsoft Certified Data Analyst with 4+ years of experience in data analytics, business intelligence, and visualization across healthcare, finance, insurance, banking, and technology industries.

• Expert in Power BI, Tableau, and SQL, designing and maintaining interactive dashboards and KPI reports to uncover trends, patterns, and support data-driven decision-making across business functions.

• Proficient in DAX functions, ETL processes (SSIS), and data warehousing using SQL Server, Azure Synapse, BigQuery, Redshift, and Snowflake, ensuring seamless data transformation and reporting.

• Experienced in Python (Pandas, NumPy, Scikit-learn) for statistical analysis and predictive modeling, leveraging machine learning techniques (Regression, Clustering) for trend forecasting and risk analysis.

• Hands-on experience with cloud-based data solutions using Azure (Databricks, Synapse, ADF) and AWS (Redshift, S3) for data integration and reporting.

• Skilled in data governance, anomaly detection, and statistical validation, leveraging Informatica and other tools to ensure data consistency, integrity, and compliance in complex datasets.

• Experienced in gathering and documenting stakeholder requirements, conducting workshops and meetings to align business needs with data solutions.

• Collaborative problem-solver, working with cross-functional teams to manage project timelines, monitor performance, and ensure successful execution of data initiatives.

• Strong communicator, effectively presenting data-driven insights to executives and stakeholders, influencing strategic decisions through clear storytelling and visualization.

• Adept at leveraging analytics for cost optimization, operational efficiency, and strategic growth, aligning data-driven insights with business impact.

AREAS OF EXPERTISE

• Programming & Analytics: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn), R, SQL.

• Business Intelligence: Power BI, Tableau, IBM Cognos, SAP BO, Excel (Power Pivot, DAX, Power Query).

• Big Data & Cloud: Apache Spark, Hadoop, AWS (Redshift, S3), Google BigQuery, Azure (Data Factory, Synapse, Databricks), Snowflake.

• Databases: SQL Server, MySQL, PostgreSQL, NoSQL, MongoDB, Cassandra, SAP HANA.

• Machine Learning & AI: Linear/Logistic Regression, Decision Trees, Random Forest, Clustering, NLP.

• ETL & Data Engineering: Apache Airflow, Oozie, Spark SQL, T-SQL, U-SQL, SSIS, Hive, Data Pipelines.

• Data Quality & Governance: Data Cleaning, Anomaly Detection, Statistical Validation, Compliance & Security.

• Stakeholder Engagement: Requirements Gathering, Cross-Functional Collaboration, Business Strategy Alignment. PROFESSIONAL EXPERIENCE

Health Care Service Corporation Jan 2024 – present Illinois, USA Data Analyst II

• Analyzed large-scale healthcare datasets using Alteryx, and Python to uncover trends, risk factors, and cost-saving opportunities, optimizing patient care strategies and operational efficiency.

• Optimized PostgreSQL queries, enhancing claims data processing, improving report accuracy and reducing query execution time for healthcare analytics and compliance reporting.

• Designed and developed interactive dashboards & self-service reports in Power BI, Tableau, and Excel (DAX, Power Pivot, Power Query), streamlining data visualization and business intelligence solutions.

• Automated ETL pipelines using Azure Data Factory and Python, streamlining data ingestion, transformation, and integration while reducing manual processing by 50%.

• Built predictive analytics models for patient risk stratification & cost forecasting using LASSO regression, Scikit-learn, NumPy, Pandas, and SciPy, improving accuracy by 25%.

• Ensured data integrity and HIPAA compliance by implementing data validation frameworks, documentation standards, and security measures using Informatica and other data quality tools.

• Transformed complex healthcare data insights into clear, actionable recommendations by leveraging advanced storytelling techniques, driving data-driven strategy formulation for senior leadership.

• Led cross-functional stakeholder meetings to align business objectives with data insights, integrating survey & operational data into Power BI for automated reporting.SQL, SDLC, API, ERP, HRIS, oracle, Sybase, Devops, PowerShell, OBIEE, VLOOKUP, Medline Industries Aug 2022 – Dec 2023 Illinois, USA Data Analyst

• Developed and presented interactive dashboards in Power BI, Excel, and PowerPoint, enabling senior management to monitor supply chain performance, inventory turnover, and financial metrics.

• Conducted exploratory data analysis (EDA) and feature selection using Python (Pandas, NumPy, Matplotlib), R and Apache Spark, improving data quality and business insights for inventory planning.

• Enhanced demand forecasting models using machine learning (Regression, Clustering, Scikit-learn, Apache Spark) and A/B testing, increasing forecast accuracy by 30% and optimizing $50M+ in resource allocation.

• Designed and automated ETL pipelines using Azure Data Factory, Google BigQuery, AWS Redshift, and Snowflake, enabling scalable cloud-based data solutions for real-time business analytics and improving data integration efficiency.

• Automated data transformation workflows, improving data accuracy by 25% and reducing manual reporting time, using Python and SQL.

• Implemented DevOps principles to manage version control, automate deployment processes, and improve cross-team collaboration for ETL and analytics workflows using GitHub and CI/CD tools.

• Developed real-time KPI dashboards tracking supply chain performance and financial metrics, leading to a 10% increase in operational efficiency and proactive risk management.

• Implemented data governance best practices to ensure data quality, integrity, and compliance with industry standards, reducing data discrepancies and improving trust in analytics-driven decision-making.

• Refined models to optimize company revenue and sales, equipping the marketing team with deeper insights for strategic financial planning and decision-making.

• Collaborated with cross-functional teams, including supply chain, finance, and operations, to translate complex data insights into actionable business strategies, improving decision-making efficiency.

• Collaborated with QA teams to develop test cases for unit, integration, and performance testing, ensuring high data reliability in analytics-driven solutions.

BNP Paribas Mar 2020 – Jun 2022 Mumbai, India

Jr. Data Analyst

• Developed interactive dashboards in Power BI and Tableau, driving data-driven decision-making across business functions.

• Performed data modeling and transformation using Power BI, SQL, and Python (Pandas, NumPy) to support transaction analysis, and financial reporting.

• Increased fraud detection accuracy by 20% through machine learning models applied to financial datasets, enhancing risk assessment.

• Collaborated with cross-functional teams, including risk, finance, and compliance departments, to understand business requirements and translate them into data-driven insights for financial risk assessment.

• Effectively communicated complex data findings and insights to both technical and non-technical stakeholders, ensuring clarity in reporting and facilitating data-driven decision-making in banking operations.

• Analyzed real-time transaction data to identify spending trends and suspicious patterns using SQL and Python, improving risk monitoring and increasing customer retention by 45%.

• Utilized historical and forecast data to benchmark financial trends, analyze consumer behavior, and generate data-driven reports that support strategic decision-making and revenue optimization.

• Enhanced Power BI solutions by integrating custom visualizations, optimized DAX calculations, and derived tables, ensuring faster dashboard performance.

• Designed and delivered MS PowerPoint presentations to communicate findings and recommended future strategies.

• Managed and tracked batch processes and real-time data loads using PowerExchange, ensuring efficient and timely data updates.

• Assisted in identifying and updating reporting requirements to enhance data warehouse functionality.

• Ensured the secure processing and management of confidential financial data in compliance with BNP Paribas' regulatory guidelines and data governance policies, maintaining data integrity and confidentiality. CERTIFICATIONS

• Microsoft Certified: Power BI Data Analyst Associate

• AWS Certified: Data Analytics - Specialty

• Google Cloud Certified: Data Engineer

• IBM Data Science Professional Certificate

EDUCATION

Master’s in Computer Science, Northern Illinois University, Dekalb, IL Aug 2022 - May 2024 Bachelor of Technology in Computer Science, K L Education Foundation Jul 2018 - Mar 2022

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