Sr. Data Analyst at Aditi Consulting

Analyze large enterprise datasets to deliver actionable insights supporting sales performance, customer engagement, and operational efficiency; design and automate Power BI dashboards with real-time data refresh; engineer scalable ETL pipelines integrating SQL Server and cloud data sources; collaborate with product, operations, and engineering teams to define data requirements, KPIs, and analytics success metrics; troubleshoot data latency and pipeline failures to maintain data reliability.

Senior Data Scientist at Turnberry Solutions

Built predictive models to forecast product demand and optimize supply chain decisions; performed advanced statistical analysis to identify trends, risks, and growth opportunities; partnered with cross-functional teams to define analytics objectives and deliver client-focused insights; presented data-driven recommendations to senior stakeholders; supported digital innovation initiatives through ML-driven performance monitoring and automation.

Senior Data Scientist at Infosys

Developed machine learning models to analyze customer behavior, credit risk, and portfolio performance; engineered large-scale data pipelines supporting analytics and model deployment; conducted root cause analysis and statistical validation to ensure data and model integrity; collaborated with business and technology teams to align analytics outputs with strategic goals; resolved data quality issues and optimized production analytics workflows.

Senior Data Scientist at Infosys

Applied predictive analytics to identify drivers of store performance and customer engagement; built and deployed machine learning models using Python and Spark for large-scale datasets; automated data validation and monitoring to proactively detect anomalies and pipeline failures; translated analytical findings into actionable insights for product and operations teams; supported experimentation and data-driven innovation initiatives across retail operations.

Data Scientist at FEMPET Consultant – BBVA

Designed and implemented machine learning models for fraud detection and credit risk prediction; analyzed large transactional datasets to uncover patterns and actionable insights; collaborated with stakeholders to define data science project goals and success metrics; presented analytical results and recommendations to technical and non-technical audiences; enhanced digital banking innovation through predictive analytics and automation use cases.