Data Analyst Quality

Deeksha Venkatesh

Data Analyst ******************@*****.*** 516-***-**** LinkedIn

SUMMARY

Data Analyst with 6+ years of experience delivering data-driven insights across healthcare, consulting, and enterprise operations. Skilled in SQL, Python, R, and cloud data platforms with expertise in ETL, KPI reporting, predictive analytics, and self- service BI solutions. Adept at building scalable pipelines, optimizing dashboards, and enabling executive decision-making through stakeholder-focused data storytelling. Strong background in healthcare claims analytics, CMS/Medicare compliance reporting, and cost optimization, with proven ability to improve reporting efficiency, governance frameworks, and data quality standards.

SKILLS

Languages & Analytics: SQL (optimization, CTEs, window functions), Python (Pandas, NumPy, Matplotlib, Seaborn), R

(statistical modeling, regression)

Data Engineering & ETL: SSIS, Azure Data Factory, dbt, Apache Airflow, API integrations, Data Quality & Governance

Big Data & Processing: Databricks, PySpark

BI & Visualization: Power BI (KPI dashboards, executive scorecards), Tableau, Looker Studio, Advanced Excel (Power Query, Pivot Tables, Macros)

Cloud & Warehousing: Snowflake, Redshift, Azure Synapse, Google BigQuery, AWS S3

Statistics & ML: Hypothesis Testing, Forecasting, Time-Series, Scikit-learn (classification, clustering, anomaly detection, predictive modeling)

Collaboration & Tools: Git/GitHub, JIRA, Confluence, Agile/Scrum

Domain Knowledge: Healthcare claims analytics, CMS/Medicare reporting, Provider performance, Risk adjustment, Operational KPIs, Cost optimization

EDUCATION

Master’s Degree in Data Science, Pace University, New York May 2024 EXPERIENCE

Anthem, USA Dec 23 – Present

Data Analyst

Modeled and analyzed healthcare claims data in Azure Synapse, improving query efficiency by 20% and enabling cost- of-care analysis for Medicare and CMS compliance.

Designed Power BI executive dashboards with self-service BI features to monitor patient outcomes, provider utilization, and claim turnaround times, enhancing stakeholder decision-making.

Automated SQL-based reconciliation of claims and payments, cutting manual review effort by 30+ hours/month and strengthening data quality standards.

Conducted variance and root cause analysis on denied claims, reducing denial rates by 12% and identifying high-cost drivers.

Partnered with actuarial teams on trend analysis, risk adjustment, and predictive cost forecasting models, supporting strategic planning.

Delivered HIPAA-compliant analytics workflows and ensured adherence to a data governance framework for PHI data handling.

Accenture, IND Nov 20 – Sep 22

Data Analyst

Built ETL pipelines using SSIS and Azure Data Factory, consolidating multi-source data into centralized reporting systems.

Developed Power BI and Tableau KPI dashboards with optimized layouts, improving usability and visibility for senior leadership.

Implemented automated Python data validation scripts, reducing post-migration errors by 25% and improving governance compliance.

Created a library of reusable SQL queries, accelerating recurring reporting processes by 40%.

Partnered with stakeholders to define reporting standards and governance rules, ensuring alignment with business objectives.

Supported cost-benefit analysis of cloud migration, influencing adoption of Snowflake and Azure Synapse for scalable analytics.

Klaus IT Solutions, IND Sep 17 – Oct 20

Data Analyst

Designed Excel dashboards and Power BI scorecards to track KPIs, improving stakeholder reporting and reducing manual reporting time by 40%.

Built SQL-driven ad hoc reports for staffing, budgeting, and project tracking, enabling faster executive insights.

Conducted data cleansing and governance checks on multi-department datasets, improving accuracy and compliance.

Automated weekly performance and productivity reports, saving ~15 hours per week.

Performed quarterly compliance audits to ensure adherence to governance and reporting standards.

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