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Yajurved Jayavarapu
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Gujarat, India
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Data AnalystSyneos HealthAug 2024 - Current (1 year 3 months)• Conducted advanced data analysis on large-scale transaction, compliance, and market datasets using Python (Pandas, NumPy, Scikit-learn, XGBoost) and SQL, enabling proactive risk identification and portfolio performance optimization. • Built credit risk scoring models and applied Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) frameworks to strengthen credit exposure assessment. • Developed fraud detection algorithms with anomaly detection, transaction monitoring, and Suspicious Activity Reports (SARs) integration, reducing fraud-related losses. • Designed and maintained interactive Tableau, Power BI, and Looker dashboards to track portfolio KPIs, asset allocation, market trends, and risk-adjusted r- UData AnalystUniversity of Alabama at BirminghamAug 2023 - Apr 2024 (9 months)• Analyzed academic funding portfolio datasets with Python and SQL to detect recurring patterns, assess financial exposure, and project performance under different market scenarios. • Prepared visual summaries and detailed Tableau/Excel trend reports to highlight funding ROI, volatility, and year-over-year comparisons, strengthening long-term financial planning. • Set up automated trackers for funding, performance metrics, and scenario stress testing, enabling quicker identification of unusual shifts in portfolio performance. • Compared internal results with external benchmarks (risk-adjusted returns, ROI) to evaluate competitive position, strengths, gaps. • Organized, cleaned, and processed large datasets with strong focus on accuracy
- MData AnalystMax InsuranceAug 2021 - Apr 2023 (1 year 9 months)• Worked with Python and SQL to analyze insurance and portfolio records, identifying recurring patterns, credit/fraud risk indicators. • Designed automated dashboards in Tableau/Excel for portfolio optimization, asset allocation, ROI tracking, reducing manual reporting efforts. • Implemented predictive claim approval models that improved decision-making accuracy and cut processing time by 20%. • Monitored anomalies in claims data, applying transaction fraud checks that reduced erroneous payouts by 12%. • Delivered executive-level reports on portfolio health, Sharpe Ratio, risk-adjusted return benchmarks, guiding business strategy. • Applied scenario analysis and statistical methods to connect shifts in claim trends to broader financia
Education
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- UMaster of ScienceUniversity of Alabama at BirminghamMay 2023 - Dec 2024 (1 year 8 months)
- Bachelor of TechnologySRM Institute of Science and TechnologyJun 2018 - May 2022 (4 years)
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- .Buckley Cable Construction CompanyOct 2022 - Current (3 years 1 month)DATA ANALYST