Manish Pradhan Email & Phone Number

Pune, Mh, In

Pune, Maharashtra, India

· For a top US Bank, working with CECL/CCAR Analytics Team - Model Integration Platform under the broad umbrella of Balance Sheet Analytics and Management (BSAM) Group as a Senior Data Engineer – Risk.· MIP enables modellers from all Line of Business to run their final version on the grid. The data generated from all models is then aggregated in an automated way for reporting purpose.· Development of Bank Holding (BHC) and Federal Reserve Bank (FRB) Reports using a data pipeline developed in python – pandas, matplotlib as a power point vetting deck – Consumer, Commercial and Retail Lending.· Support QFRs Adjustments (to Reserve), Portfolio Sensitivity Reports (PSR) data loads to BI tool.· Day to day activities include development of reports – Reserve number - per LoB. QoQ attributions impact to the reserve number - model/data/ME variables/portfolio analysis etc.· Factor Sensitivities – Sensitivity QA checks for back dated reserve models and numbers.· Understanding the model methodology changes in current process and the quantitative impact of the same on the reserve numbers generated.· Support QA/UAT for the reports generated for the quarterly production cycles.· Tools – Python (pandas and matplotlib).· Role Type – Team Lead (5 python developers), liaise with ExOps and Business/Product Owner Team. Onshore-offshore coordination 10 day sprint model.

Pune, Maharashtra, India

· Development of bespoke operational model for various marketplace platforms partners (SME), designing data flows for the centralised lending platform.· Created centralised data view (FX marked) for portfolio tracking – common for all geographies. · Role Type – IC, liaise with Credit Assessment and IT team.

Pune, Maharashtra, India

· Using statistical techniques and overlay the existing product-policy matrix on the features available on the external data points.· Propensity (New To Bank) data: Leveraging the external data and internal operational models to evangelize Calling Leads as per capacity/planning.· Data engine developed for Lead creation, prioritization and data disposition (feedback on each lead).· Work with cross functional teams – Operations, Sales and IT to implement analytical solutions on data lakes.· Tools – R and Python.· Role Type - Managerial - stake holder management/resource grooming.

Pune, Maharashtra, India

· Statistical insight for Clients’ existing retail product portfolio and new applicants.· Application Scorecard/Sourcing strategy development for Retail Products for new and existing customers. · Credit Bureau Data – consumer score refactoring for CIC, Completive analysis report for banking partners.· Cross-sell and up-sell strategy development. · Presenting/story telling in an easily understandable form to target a wide variety of audience. · Collaborate with business counterparts to understand/document business processes and data structures. · Assist implementation of a scorecard in a decision tool. · Collaborate with cross functional teams in order to minimize re-work. · Clients served: Banks – Middle East, India Region. Bureaus – Philippines (CIC), UAE (AECB), Brunei, India (CHM). · Tools used - In-house model developer, R, SAS, SQL. · Role type - IC in cross functional team environment.

Mumbai Area, India

As a part of Risk Analytics Unit, working on:1. Niche domain analysis in the field AML, Audit etc and segmenting risk across various processes.2. Identification of new features and use cases. Enhancement of the review set using Anomaly Detection/Machine Learning Techniques.3. Management of Hadoop infrastructure deployment- Vendor and Business Intelligence Team management.

Pune

Worked on an assisted shopping chat-box that understands human-like queries, and provides results with an essence of Artificial Intelligence. The chat responses included the acknowledgement for a search query in human-like context of understanding or non-understanding of the query. The product catalog consisted of products belonging to various categories like Electronics, Clothing, Books etc. I took the ownership on query classification. Naive Bayes classifier was used to classify a user query in the context of the product catalog that we had. An automated sequence of communication for up-to three levels of depth - the product category, the product attributes and the product name itself. Also, during the training period, I was exposed to Natural Language Processing pipeline using Python/NLTK.

Pune Area, India

Worked as a developer in IBM legacy systems for various clients of BFSI domain.Responsibilities included the following:Controlling the technical configuration of the solution.Coordinating with the business users for requirements.Gathering information likely to impact on the ongoing evolution of the solution.Identifying and owning technically based risk, escalating to the Project Manager as appropriate.Ensuring the non-functional requirements are achievable and subsequently met.Managing technical aspects of the transition of the solution into live use.Adhering to standards and best practice laid out in the Technical Implementation Standards.Testing the output of work prior to independent testing.Guiding/training team members with the existing and new deployments.

Pgp In Big Data And Business Analytics, Data Science, 3.95

Bachelor’S Degree, Electronics And Communications Engineering, 71%