0 Years of Business Experience.
PhD with experience in the Financial Services industry, leveraging advanced data analytics to deliver valuable insights and business value.
0 Years of Business Experience.
B.E, Electonics Engineering
M.S, Telecommunications Management
PhD, Business Administration (Specialization: Information Systems )
Full Time Immersive Data Science and Machine Learning Bootcamp, Data Science and Machine Learning
Primary contributions as a team member was programming LDAP routines in C using the LDAP Client SDK and functional testing of different modules using TCL/TK scripting for generating load scripts. Also analyzed various projects for company defined software performance metrics like code modularity, function callbacks and complexity
Taught undergraduate classes in Operations Management, Advanced MIS programming in VB.Net and Decision Theory.Responsibilities included teaching, holding office hours, grading and testing close to 300 undergraduate business school students per semester.
Taught courses in the areas of Quantitative Methods, Research Methods, Multivariate Data Analysis and High Technology Strategy Conducted academic research in the Information Management and Analytics area.
As the Program Chair for the Information Systems Area, I worked towards enhancing curriculum via industry engagement to design industry-relevant courses. I delivered lectures and courses in the Information Management as well as Research Methods area. My research interest was in exploring use of Social Media, Cloud and Analytics for business.
1) Develop customer segmentation models (using clustering algorithms) to better understand Forex customer needs and work with business to identify wallet share capture opportunities based on insights from the segmentation model Page 1 of 4 2) Create topic-models (using NLP and LDA) and auto-tagging models for efficient processing of customer reviews to better understand customer feedback 3) Identify and pilot web analytics use cases on GCP (Google Cloud) to understand customer online journey and use it for better customer profiling and targeted campaigns for products 4) Build a tagging warehouse as part of the customer analytical record for better targeting of customer and identification of cross-selling opportunities within the existing client base 5) Demonstrate Proof-Of-Concept using AI/Deep learning to solve large scale efficiency challenges within the bank (for example: image classification models for document processing during customer onboarding process) 6) Project management for a frontline performance tracking system, including project scoping, translating business requirements to technical specification (QlikView dashboard), overseeing technical resources, providing continuous updates and incorporating client feedback for on-time delivery
1) Collaborate closely with business partners to develop analytical solutions (including model development) for targeted customer reach and higher customer conversion 2) Build product propensity models (for specific banking products such as Insurance, FX, Payments, Credit Cards) to identify potential customers for cross-sell/up-sell opportunities 3) Develop product recommendation models for customers for customized propositions and enhanced customer experience (for example: use of collaborative and content filtering to build similarity profiles for better recommendations) across 250K+ customer base 4) Responsible for overseeing model governance and adherence to model risk standards for a variety of analytical modeling projects 5) Build expertise and familiarity with regional regulatory Artificial Intelligence/ Big Data (AI/BD) frameworks/papers published
Feel free to reach out if you happen to have any questions!