Sanjana Goyat
@sanjanagoyat
Data Analytics professional with 5+ years generating actionable insights across Credit Risk and Fintech. Skilled in leveraging ML, statistics, SQL.
What I'm looking for
At Razorpay, I build finance reporting, payment analytics, and machine learning solutions used by the CFO, senior leadership, Finance, Product, and Engineering teams.
I designed Power BI dashboards and automated reporting pipelines with Python and AWS S3, reducing manual effort by 50%. My payment-success work combined XGBoost, KMeans segmentation, and controlled experimentation to deliver a 6.5% net revenue uplift, while funnel analysis and A/B testing improved checkout conversion by 2%.
I also run real-time anomaly detection through Apache Airflow, correlating transaction and support-ticket data to trigger actionable alerts and reduce support tickets by 50%.
Previously at Brillioz Infotech, I analysed credit card and loan portfolios using SAS, Python, SQL, and Power BI, turning delinquency, fraud, segmentation, probability-of-default, and retention analysis into actionable portfolio insights.
Experience
Work history, roles, and key accomplishments
Designed and deployed end-to-end finance reports and Power BI dashboards used by CFO and senior leadership. Automated reporting pipelines and built predictive models, including an XGBoost-based payment success optimizer and a RAG-based LLM workflow, driving measurable revenue and efficiency gains.
Education
Degrees, certifications, and relevant coursework
Deenbandhu Chotu Ram University of Science and Technology
Bachelor of Science, Chemistry
Bachelor of Science in Chemistry from Deenbandhu Chotu Ram University of Science and Technology, completed in May 2021.
Availability
Location
Authorized to work in
Job categories
Skills
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