Business Intelligence Data Analyst

RENU DEEPYA ISKA

551-***-**** ****.*.****@*****.*** Jersey City, NJ LinkedIn GitHub

PROFESSIONAL SUMMARY

Results-driven Data Analyst and Data Engineer with over 5 years of experience delivering impactful data solutions in healthcare, finance, and consumer goods. Proficient in business intelligence, data governance, and predictive modeling, leveraging Python, SQL, R, Tableau, Power BI, and Azure technologies to drive operational efficiency and strategic decision-making. Experienced in leading Agile teams, optimizing ETL pipelines, and ensuring compliance with HIPAA and HITECH standards. Holds dual master’s degrees in business Intelligence & Analytics (GPA: 3.91/4.0) and Sports Technologies, positioning her for innovative roles in data analytics and sports management.

• Reduced operational errors by 20% and processing times by 30% through advanced predictive models and automation.

• Designed scalable data pipelines and dynamic dashboards, enhancing stakeholder insights and regulatory compliance.

• Implemented data governance frameworks, improving data reliability and business trust.

• Trained non-technical teams on BI tools, fostering organization-wide data literacy.

• Passionate about leveraging AI and sports analytics for digital transformation. CORE COMPETENCIES

• Data Analysis & Modeling: Statistical analysis, feature engineering, machine learning

• Data Engineering: ETL pipeline development, data transformation, data validation

• Business Intelligence: Data visualization, dashboard creation, report automation

• Programming: Python (Pandas, NumPy, Sklearn, PySpark), R, SQL, REST APIs

• Cloud Technologies: Azure Data Factory, Databricks, Synapse Analytics, SQL Database

• Tools: Tableau, Power BI, Google Sheets, Excel (pivot tables, macros)

• Data Governance: Data quality, lineage, compliance (HIPAA, HITECH, ONCHIT)

• Project Management: Agile methodologies, UAT, cross-functional collaboration

• Emerging Fields: Sports analytics, AI in sports management, smart venues

• Soft Skills: Data storytelling, team leadership, stakeholder engagement, problem-solving PROFESSIONAL EXPERIENCE

Charles Schwab Jan 2024 – Nov 2024

Business Intelligence Analyst Austin, TX (Telecommuter)

• Developed predictive models using Python (Pandas, NumPy, Sklearn) to forecast client investment trends, improving portfolio allocation accuracy by 15% and reducing manual analysis by 20% in regulatory submissions.

• Integrated data from CRM systems, Oracle, and financial platforms via REST APIs, creating a centralized data repository that improved reporting efficiency by 25%.

• Designed and maintained 10+ Power BI dashboards to visualize client wealth metrics, market trends, and operational KPIs, enabling real-time decision-making for financial advisors.

• Automated data validation processes for client and market datasets, ensuring high-quality inputs for wealth management analytics and targeted client campaigns.

• Led User Acceptance Testing (UAT) for regulatory systems (e.g., ARIM, Lorenz Validator), developing test scenarios and ensuring compliance with HITECH, ONCHIT, and HIPAA.

• Optimized SQL queries for ad hoc financial compliance reporting, enhancing audit accuracy by 10% and streamlining regulatory submissions.

• Collaborated with stakeholders to validate BI reports and dashboards, conducting user acceptance testing to ensure alignment with business requirements.

Wissen Technology Oct 2021 – Aug 2023

Data Engineer Bengaluru, India

• Architected end-to-end ETL pipelines using Azure Data Factory and Data Lake for patient records and claims, cutting processing times by 30% and operational costs by 25%.

• Managed Azure SQL Database for secure, scalable healthcare data storage, achieving 99.9% uptime and ensuring HIPAA compliance.

• Designed dimensional data models to optimize reporting on patient demographics, utilization, and claims metrics.

• Leveraged Azure Databricks and PySpark to transform raw data, enabling real-time analytics and improving care quality metrics by 15%.

• Built Power BI dashboards to track population health trends, readmission rates, and provider performance, supporting data-driven care decisions.

• Deployed Python-based validation scripts and Azure Monitor to maintain data accuracy and governance standards.

• Migrated legacy workflows to Azure Synapse Analytics, enhancing scalability and reducing monthly costs by 25%. ICICI Bank Aug 2019 – Aug 2021

Junior Data Analyst India

• Automated data cleaning and preprocessing tasks using Python, reducing processing times by 40% and boosting team efficiency.

• Wrote complex SQL queries to aggregate and analyze data in SQL Server, improving data reliability for business analytics by 15%.

• Designed Tableau dashboards to visualize key trends, enabling stakeholders to make informed strategic decisions.

• Streamlined reporting with Excel pivot tables and charts, increasing productivity by 30% for the analytics team.

• Performed data wrangling to address outliers and inconsistencies, ensuring high-quality datasets for downstream analyses.

EDUCATIONAL QUALIFICATIONS

M.S. in Business Intelligence and Analytics Sep 2023 – Dec 2024 Stevens Institute of Technology (GPA: 3.91/4.0) Hoboken, NJ

• Relevant Coursework: Data Analytics & Machine Learning, Business Intelligence, Multivariate Data Analytics, Supply Chain Optimization

M.S. in Sports Technologies and Digital Transformation Sep 2023 – Dec 2024 Escuela Universitaria Real Madrid Universidad Europea Madrid, Spain

• Relevant Coursework: Big Data & AI in Sports Management, Smart Venues, Sports Technologies

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