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I am a Data Analyst with 4+ years of experience leveraging SQL, Python, and cloud platforms (AWS Redshift, Snowflake) to build scalable data pipelines, predictive models, and business intelligence solutions. I have delivered measurable impact in financial and healthcare analytics, including improved AUM retention and multi-million dollar cost savings. I have also driven gains in operational efficiency and reporting automation. I translate complex data into actionable insights through machine learning, statistical analysis, and interactive dashboards, enabling data-driven decision-making across cross-functional teams. I collaborate with stakeholders, manage agile workflows, and ensure HIPAA-compliant data privacy and security in healthcare analytics.…I am a Data Analyst with 4+ years of experience leveraging SQL, Python, and cloud platforms (AWS Redshift, Snowflake) to build scalable data pipelines, predictive models, and business intelligence solutions. I have delivered measurable impact in financial and healthcare analytics, including improved AUM retention and multi-million dollar cost savings. I have also driven gains in operational efficiency and reporting automation. I translate complex data into actionable insights through machine learning, statistical analysis, and interactive dashboards, enabling data-driven decision-making across cross-functional teams. I collaborate with stakeholders, manage agile workflows, and ensure HIPAA-compliant data privacy and security in healthcare analytics.

Seetha Durga Lasya Inguva

Data Analyst, Data Scientist, Web Developer, +2

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I am a Data Analyst with 4+ years of experience leveraging SQL, Python, and cloud platforms (AWS Redshift, Snowflake) to build scalable data pipelines, predictive models, and business intelligence solutions. I have delivered measurable impact in financial and healthcare analytics, including improved AUM retention and multi-million dollar cost savings. I have also driven gains in operational efficiency and reporting automation. I translate complex data into actionable insights through machine learning, statistical analysis, and interactive dashboards, enabling data-driven decision-making across cross-functional teams. I collaborate with stakeholders, manage agile workflows, and ensure HIPAA-compliant data privacy and security in healthcare analytics.…I am a Data Analyst with 4+ years of experience leveraging SQL, Python, and cloud platforms (AWS Redshift, Snowflake) to build scalable data pipelines, predictive models, and business intelligence solutions. I have delivered measurable impact in financial and healthcare analytics, including improved AUM retention and multi-million dollar cost savings. I have also driven gains in operational efficiency and reporting automation. I translate complex data into actionable insights through machine learning, statistical analysis, and interactive dashboards, enabling data-driven decision-making across cross-functional teams. I collaborate with stakeholders, manage agile workflows, and ensure HIPAA-compliant data privacy and security in healthcare analytics.

Available to hire

I am a Data Analyst with 4+ years of experience leveraging SQL, Python, and cloud platforms (AWS Redshift, Snowflake) to build scalable data pipelines, predictive models, and business intelligence solutions. I have delivered measurable impact in financial and healthcare analytics, including improved AUM retention and multi-million dollar cost savings. I have also driven gains in operational efficiency and reporting automation.

I translate complex data into actionable insights through machine learning, statistical analysis, and interactive dashboards, enabling data-driven decision-making across cross-functional teams. I collaborate with stakeholders, manage agile workflows, and ensure HIPAA-compliant data privacy and security in healthcare analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Analyst at Charles Schwab

February 1, 2025 - Present

Engineered SQL queries to track portfolio performance and generate client reports, increasing reporting efficiency by 30% and supporting timely, data-driven investment insights. Integrated data from AWS Redshift and other platforms to build interactive Tableau dashboards tracking key financial metrics, reducing manual reporting time by 20 hours per month. Developed a Scikit-learn model to predict client attrition, enabling 23% earlier intervention and preserving high-value portfolios, improving AUM retention and revenue continuity. Automated ETL processes using Apache Airflow, migrating data into Snowflake and cutting report preparation time by 90%, while improving overall data reliability and accessibility. Collaborated with cross-functional teams and managed agile workflows in JIRA.

Data Analyst at Elevance Health

August 1, 2021 - July 1, 2023

Analyzed 4M+ claims using SQL and developed Power BI dashboards to track provider KPIs including cost per claim, reimbursement variance, denial rates, and adjudication turnaround time, driving approximately $350K in cost savings through targeted network optimization. Created dashboards tracking claims volume, adjudication TAT, and provider-denial rates across 1,500+ provider networks, reducing claims processing delays by 60% and accelerating operational decision-making. Led A/B testing in Python to evaluate healthcare fraud detection rules, boosting detection by 18% and reducing false positives by 22%, saving $1.2M annually while ensuring PII-safe compliance. Optimized healthcare claims preprocessing with Pandas and NumPy, standardizing ICD/CPT codes and resolving data anomalies to improve data quality for downstream analytics. Enabled data-driven decision-making for leadership by delivering insights on claims utilization, denial rates, and provider performance, ensuring HIPAA data pri

Analyst Intern at U & I Trust

June 1, 2020 - March 1, 2021

Analyzed student performance, attendance, and volunteer engagement data using Excel, uncovering key learning gaps and operational inefficiencies; delivered actionable insights that improved program effectiveness and supported expansion from 2 to 6 centers (300+ students). Developed Power BI dashboards to track academic KPIs, volunteer performance, and regional trends, enabling leadership to optimize resource allocation and make faster, data-driven decisions that improved overall program delivery. Conducted business and fundraising analysis on crowdfunding and donor data, identifying seasonal trends and high-performing regions; informed targeted campaign strategies that increased donor engagement and maximized funding efficiency.