Business Analyst with 3+ years of experience supporting business and operational decision-making through requirements analysis, process and workflow analysis, KPI reporting, data analysis, automation, testing and validat…
Business Analyst with 3+ years of experience supporting business and operational decision-making through requirements analysis, process and workflow analysis, KPI reporting, data analysis, automation, testing and validation, and cross-functional collaboration. Experienced translating stakeholder needs into measurable requirements, analyzing operational data and metrics, documenting analytical workflows, identifying process improvement opportunities, and developing Power BI and Tableau dashboards and reports. Strong hands-on experience with SQL, Python, business intelligence, data quality, predictive analytics, and cloud-based data workflows. M.S. in Data Science with a strong foundation in digital transformation, automation, analytical problem solving, and communicating insights to technical and business stakeholders.
Experience
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Business Analyst
Progressive Insurance·Acalanes Ridge , California , United States of America (USA)
Jul 2025 - Present · 1 year 4 months
<p>Build predictive risk models in Python and Scikit-learn for renewal behavior, premium trends, and high-risk policy identification across large-scale insurance datasets, supporting risk-informed underwriting decisions.</p><p> Design repeatable Python/SQL data and ML pipelines covering data preparation, feature engineering, scoring, validation, and reporting; improve analytical reproducibility and reduce manual workflow dependencies.</p><p> Process millions of records with SQL and optimize analytical workflows, reducing reporting time by 40%; improve SQL query performance by 35% and accelerate dashboard refresh cycles.</p><p> Perform quantitative risk analysis, statistical testing, regression analysis, and time-series analysis to identify anomalies, trends, uncertainty, and model-relevant data-quality issues.</p><p> Evaluate and benchmark predictive models using classification metrics and cross-validation; conduct error/failure analysis to identify weak segments, performance gaps, and opportunities for improvement.</p><p> Develop KPI and model-monitoring views for predictive performance, operational metrics, model outcomes, and analytical quality, translating results into clear engineering and business insights.</p><p> Partner with product and engineering stakeholders to define analytical requirements, refine datasets, establish measurable metrics, and deliver scalable data-driven solutions.</p>
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Business Analyst
Tera Byte's Infotech·Adilabad , Telangana , India
Oct 2022 - Aug 2024 · 1 year 10 months
<p>Developed machine-learning prototypes for customer segmentation, behavioral analysis, forecasting, and predictive analytics using Python, translating ambiguous business questions into measurable analytical requirements.</p><p> Performed statistical and exploratory analysis on large datasets to identify operational risks, outliers, trends, variability, and data-quality issues.</p><p> Designed scalable SQL data pipelines and repeatable data preparation/validation workflows; automated Python/SQL reporting and data-processing workflows, saving 15+ hours per week.</p><p> Applied clustering, feature engineering, model comparison, and performance analysis to understand behavioral patterns and improve analytical outputs.</p><p> Optimized SQL queries and improved reporting performance by 30%; created Power BI and Tableau dashboards for model/business performance monitoring and executive reporting.</p><p> Supported cloud-based analytics projects using AWS and collaborated cross-functionally to convert stakeholder needs into robust analytical workflows.</p>
