Prateek Bhatnagar Email & Phone Number

Singapore

1. Specializing in Underwriting solutions through Machine learning models for Augmented Underwriting with pricing/risk optimization2. Expertise in Health Analytics specifically in claims profiling and provider bench-marking3. Developing R shiny Objects for score based model and dashboard deployment4. Working experience with Cloud infrastructure, DSVMs and deployments5. Making ML applications Interpretable via LIME and SHAP6. Text analytics for Health data for clustering and claims predictions

Singapore

1. Sales Analytics - Cross sell , Upsell & Product recommendation analytics 2. Claims & Underwriting Analytics3. Customer micro segment profiling 4. Data discovery , Information value & customer 360 view

Singapore

Project : Develop Analytics based framework to augment the effectiveness of current fraud systems.1. Develop predictive machine learning fraud risk models to automate alert reviews .2. Generate fraud risk ratings for transactions basis historical data analytics.3. Tune existing rules and parameters defined in the system.4. Run pattern mining algorithms across databases to develop new rules and improve detection.Tools Used : R , Teradata , SAS and Excel

Hyderābād Area, India

1) Generate Credit Risk Rating (CRR) basis analysis of audited Financial statements of the customers and the deploy suitable Facility Grade (FG) for Card members of Middle east market.2) Preparing a basic document (credit application) considering all the financial data of the customer in liaison with the relationship manager over phone and through exchange of the emails.3) Work with HSBC internal Risk for approval and upon approval and based on the approval term draft a Facility Offer Letter (FOL) and send to the customer for acceptance along with all the required documents.4) Maintain the undrawn commitments which are uploaded in the system called HUB when the Facility Offer Letter (FOL) is provided to the customer so as to put aside the money committed to the customer. 5) Critical fraud and Risk analysis of the documents and escalate concerns to Relationship managers.

Gurgaon, India

1) Facilitated overall migration of new process vertical to India Amex campus , catering for new markets in the credit risk and first party fraud domain. 2) Handled a team of eight newly hired junior credit analysts & was solely responsible for their quality, productivity scores, professional grooming, all round development and business impact. 3) Drove results through Zero error projects ensuring 100 % quality scores with a 24/7 cover environment. 4) Developed structures and models for process growth leading to efficient real time management of inventory particularly for the night shifts catering real time fraud and credit risk cases for US and Canada market.5) Worked around the clock to conduct real time feedbacks, quality checks and morale boosting activities.

Gurgaon, India

1) Conducted behavioral intent analysis for card-members to catch first party fraud and credit risk cases through detailed review of card-member attributes ranging from spend patterns/payments to demographics , network fraud/criminal cluster linkages & credit bureau analysis. 2) Established fraud ring activity through detailed attribute analysis for pattern detection of a cluster of 50-100 network card members possibly opened with an intent to defraud American express.3) Prepared detailed credit standing and risk reports to facilitate analysis for future reviews of accounts. 4) Worked and liaised with US Amex office to incorporate new fraud & credit default trends in US credit card market.5) Analytical review of selected card members to catch AML behavior. Detailed analysis also ruled out cases of factoring and one day credit defaulters.

Master’S Degree, Business Analytics

Business Analytics

Bachelor Of Arts ( Honours ), Economics, 1St Division