Sagar Dudam Email & Phone Number

Noida, Up, In

Gurugram, Haryana, India

Gurugram, Haryana, India

Banking and Finance:* Engineered Alert Suppression models for Anti-Money Laundering, achieving a 48% suppression rate with a minimal 2% event loss (98% recall) for a leading private bank in India.* Created a comprehensive program for profiling transactions from bank statements, effectively categorizing transactions, and identifying transfers to self accounts and related parties for an Indian bank.Health Assurance:* Engineered a cartel detection model with Community Algorithms and Graph Analysis, unveiling recurring fraud among doctors, hospitals, and patients for world's largest health assurance scheme.* Pioneered end-to-end development of a Facial Recognition & Cataract Detection model, achieving a 41% hit rate in detecting fraudulent cataract claims.* Devised various techniques such as hash matches, OCR matches and barcode matches for identifying claim duplicity, boasting a 32% hit rate.* Collaborated to enhance and streamline 40+ rule-based triggers, resulting in an 18% improvement in fraud detection hit ratio.Corporate Trainings:* Delivered corporate training sessions on foundational Data Science skills, impacting 30+ PwC employees and 20+ client employees.

Noida

* Collaborated with the DataisGood Sales team, contributing to sales opportunities by comprehending customer needs, executing solution architecture matching, and partnering with technical resources for campaign support.* Presented strategic business requirements and current solution landscape to C-level technical stakeholders, proposing impactful solutions that elevate customer value.* Evangelized Data Virtualization and the DataisGood Platform at industry conferences, events, and workshops, playing a key role in promoting the platform's value and capabilities.* Taught Data Science concepts, Excel, SQL, Python, and Machine Learning to DataisGood students, fostering a comprehensive understanding of essential tools and algorithms.

Pune

* Engineered a Default Predictor model for a BFSI client, utilizing ensemble classification. Gathered, prepared, and analyzed demographic data, existing relationships, payment history, and delays to reduce False Negatives in credit risk identification.* Created an incident classification model for the Cybersecurity team, seamlessly integrated into the client incident tool. This streamlined ticket allocation, minimizing human hours by 70% and optimizing incident management.* Automated Cohort Analysis for a financial institution, unveiling customer churn patterns. Developed a predictive model based on the analysis to accurately predict and address customer churn.

Pune

* Led a 15+ member team overseeing User Access Provisioning, Generic Accounts, Privilege Accounts Provisioning, and User Password Resets.* Achieved a significant reduction in provisioning errors below 2% through monthly application procedure reviews.* Successfully onboarded over 500 applications within the IAM Ops module, contributing to a remarkable revenue increase of over 50%.* Implemented proactive ticket management by forecasting monthly ticket inflow based on historical data, ensuring efficient and effective handling of tickets.

Pune

* Effectively managed resources and data on Excel for a Travel client, creating insightful reports and dashboards to drive business intelligence.* Maintained regular collaboration with business leads to stay abreast of the latest trends, continuously updating internal resources for optimal relevance.* Provided efficient support to customer representatives by promptly resolving queries through well-managed resources.* Categorized and published insights derived from queries, ensuring accessible and organized information for informed decision-making.