Architha Gottiparthy

Data Analyst with 4+ years of experience analyzing large, complex datasets and delivering actionable insights across healthcare and enterprise environments. Strong expertise in SQL, Python, Snowflake, Power BI, Tableau, Excel, statistical analysis, and data quality. Experienced in complex ad hoc analysis, KPI development, dashboard automation, anomaly detection, root-cause analysis, and dimensional modeling, with a proven ability to translate business requirements into trusted analytical solutions.

Data Analyst II - Optum - Los Angeles, CA (Remote)

(2026-02)

• Analyze 10M+ healthcare claims, enrollment, provider, diagnosis, and utilization records using SQL, Python, and PySpark to support risk analytics, operational reporting, and business decision-making.
• Perform complex data profiling, validation, reconciliation, and anomaly analysis to identify duplicate claims, missing identifiers, inconsistent records, and unusual utilization patterns.
• Conduct ad hoc and root-cause analyses across source and reporting datasets, tracing discrepancies through transformation logic and business rules to deliver trusted analytical outputs.
• Partner with analysts and business stakeholders to define KPIs, develop analytics-ready datasets, validate reporting logic, and translate complex findings into actionable insights.

Data & Analytics Engineer - TechNVision - Austin, TX (Remote)

(2022-01 - 2023-08)

• Analyzed 3M+ operational records using advanced SQL, Snowflake, Python, and PySpark to uncover revenue, inventory, delivery, and station-performance trends.
• Designed Power BI dashboards and dimensional data models to track operational KPIs, revenue performance, inventory trends, and business drivers.
• Performed deep-dive analysis, reconciliation, and anomaly investigation across multiple data sources, contributing to a 30% reduction in recurring data-quality incidents.
• Automated data transformation and reporting workflows using SQL, Python, dbt, and Airflow, improving reliability and reducing manual reporting effort.

Jr. Data Analyst - Qritrim - Hyderabad, India

(2020-04 - 2021-12)

• Analyzed high-volume social media and engagement datasets using SQL, Python, statistical techniques, and machine learning to identify audience trends, sentiment patterns, and performance drivers.
• Performed EDA, feature engineering, trend analysis, and statistical validation to generate insights supporting campaign and influencer-performance decisions.
• Developed Tableau dashboards and KPI reporting that translated complex analytical findings into clear recommendations for business stakeholders, including Adidas project teams.

PG Diploma - Data Science - INSOFE (2024 - 2025)

B.Tech - Electronics & Communication Engineering - Sreyas Institute of Engineering & Technology (2015 - 2019)