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@yajurvedjayavarapu
Finance data analyst delivering predictive risk models, scalable pipelines, and actionable dashboards.
I am a finance data analyst with 4+ years applying data analytics to credit risk, fraud detection, compliance monitoring, and portfolio performance. I build scalable ETL pipelines, develop predictive models (PD, LGD, EAD), and design interactive dashboards to inform senior stakeholders and improve operational efficiency.
I have delivered automated reporting workflows, econometric forecasting (ARIMA, GARCH), and BCBS 239–aligned risk aggregation while collaborating with compliance teams on AML/KYC, Basel III, IFRS 9, and SOX requirements. I work across Python, SQL, Tableau, AWS, Spark, and Airflow to turn complex financial datasets into validated insights that reduce losses and support strategic decisions.
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Work history, roles, and key accomplishments
Syneos Health
Aug 2024 - Present (1 year 3 months)
Conducted advanced analytics and built credit risk scoring and fraud detection models, automated ETL on AWS/Spark, and delivered dashboards that improved portfolio risk identification and reporting.
Max Insurance
Aug 2021 - Apr 2023 (1 year 8 months)
Built predictive claims models and automated dashboards to optimize portfolio allocation, reducing processing time by 20% and erroneous payouts by 12%.
Degrees, certifications, and relevant coursework
Master of Science, Data Science
2023 - 2024
Completed a Master of Science in Data Science with coursework and projects focused on data analytics, machine learning, and large-scale ETL pipelines to support risk and portfolio analysis.
Bachelor of Technology, Computer Science
2018 - 2022
Earned a Bachelor of Technology in Computer Science with emphasis on programming, data structures, and applied analytics supporting subsequent roles in data analysis and machine learning.
Software and tools used professionally
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