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I am a detail-oriented Data Scientist with over four years of experience specializing in data analysis, governance, and compliance-driven projects across finance and operations. I have a strong ability to identify data quality issues, analyze risk metrics, and build insightful dashboards for risk reporting that align with both internal data governance standards and external regulatory frameworks such as GDPR, SOX, and HIPAA. My work often involves close collaboration with cross-functional teams including legal, compliance, and data stewards to ensure data classification, usage, and ethical AI practices. I am proficient in tools like Power BI, Excel, and SQL, and skilled in data risk evaluation techniques with a continuous focus on risk mitigation and control gap analysis. My experience spans global organizations where I have developed machine learning models, conducted root cause analyses, and delivered AI-led operational efficiencies. I am passionate about using data science to drive meaningful business decisions while maintaining compliance and ethical standards.…I am a detail-oriented Data Scientist with over four years of experience specializing in data analysis, governance, and compliance-driven projects across finance and operations. I have a strong ability to identify data quality issues, analyze risk metrics, and build insightful dashboards for risk reporting that align with both internal data governance standards and external regulatory frameworks such as GDPR, SOX, and HIPAA. My work often involves close collaboration with cross-functional teams including legal, compliance, and data stewards to ensure data classification, usage, and ethical AI practices. I am proficient in tools like Power BI, Excel, and SQL, and skilled in data risk evaluation techniques with a continuous focus on risk mitigation and control gap analysis. My experience spans global organizations where I have developed machine learning models, conducted root cause analyses, and delivered AI-led operational efficiencies. I am passionate about using data science to drive meaningful business decisions while maintaining compliance and ethical standards.

Venkata Sai Uppu

Data Scientist, Data Analyst, AI Engineer, +2

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I am a detail-oriented Data Scientist with over four years of experience specializing in data analysis, governance, and compliance-driven projects across finance and operations. I have a strong ability to identify data quality issues, analyze risk metrics, and build insightful dashboards for risk reporting that align with both internal data governance standards and external regulatory frameworks such as GDPR, SOX, and HIPAA. My work often involves close collaboration with cross-functional teams including legal, compliance, and data stewards to ensure data classification, usage, and ethical AI practices. I am proficient in tools like Power BI, Excel, and SQL, and skilled in data risk evaluation techniques with a continuous focus on risk mitigation and control gap analysis. My experience spans global organizations where I have developed machine learning models, conducted root cause analyses, and delivered AI-led operational efficiencies. I am passionate about using data science to drive meaningful business decisions while maintaining compliance and ethical standards.…I am a detail-oriented Data Scientist with over four years of experience specializing in data analysis, governance, and compliance-driven projects across finance and operations. I have a strong ability to identify data quality issues, analyze risk metrics, and build insightful dashboards for risk reporting that align with both internal data governance standards and external regulatory frameworks such as GDPR, SOX, and HIPAA. My work often involves close collaboration with cross-functional teams including legal, compliance, and data stewards to ensure data classification, usage, and ethical AI practices. I am proficient in tools like Power BI, Excel, and SQL, and skilled in data risk evaluation techniques with a continuous focus on risk mitigation and control gap analysis. My experience spans global organizations where I have developed machine learning models, conducted root cause analyses, and delivered AI-led operational efficiencies. I am passionate about using data science to drive meaningful business decisions while maintaining compliance and ethical standards.

Available to hire

I am a detail-oriented Data Scientist with over four years of experience specializing in data analysis, governance, and compliance-driven projects across finance and operations. I have a strong ability to identify data quality issues, analyze risk metrics, and build insightful dashboards for risk reporting that align with both internal data governance standards and external regulatory frameworks such as GDPR, SOX, and HIPAA. My work often involves close collaboration with cross-functional teams including legal, compliance, and data stewards to ensure data classification, usage, and ethical AI practices.

I am proficient in tools like Power BI, Excel, and SQL, and skilled in data risk evaluation techniques with a continuous focus on risk mitigation and control gap analysis. My experience spans global organizations where I have developed machine learning models, conducted root cause analyses, and delivered AI-led operational efficiencies. I am passionate about using data science to drive meaningful business decisions while maintaining compliance and ethical standards.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist at Western & Southern Financial Group

January 1, 2025 - Present

Collaborated with HR and IT teams to ensure data pipelines adhered to internal data governance policies and regulatory standards such as SOX and HIPAA. Conducted root cause analysis on data quality issues impacting reporting dashboards and flagged risks across data sources. Developed Power BI dashboards to visualize data control metrics, privacy compliance checks, and KPI trends related to HR and finance operations. Maintained documentation for data flow, access levels, and anomaly tracking used in quarterly risk audits and compliance reviews. Partnered with compliance and data stewards to update risk mitigation plans, privacy workflows, and metadata tagging strategies.

Data Scientist at Sodexo

December 31, 2024 - August 5, 2025

Designed machine learning models to optimize facility operations and resource usage, delivering 15–20% cost savings through AI-led decision systems. Built end-to-end ML pipelines using Python, Spark, and SQL, integrating outputs into business dashboards and internal APIs. Conducted continuous KPI tracking and model validation using feedback loops, ensuring sustained ROI from AI solutions. Applied anomaly detection and regression models to flag outliers in supply chain processes and predict operational inefficiencies.

Data Scientist at ICICI Prudential Life Insurance

July 31, 2023 - August 5, 2025

Deployed classification models for fraud detection and churn prediction in customer operations, reducing false positives by 12%. Built pipeline integrations using SQL and Python to pull and preprocess data from large-scale systems for ML readiness. Documented modeling assumptions and business impact, supporting transparency and governance in AI practices.

Data Analyst at American Express

September 30, 2022 - August 5, 2025

Supported data pipeline automation and reporting dashboards to streamline internal operations. Managed data cleaning, transformation, and cross-system integration to ensure reporting accuracy. Partnered with stakeholders to identify process automation opportunities and support model evaluation tasks.