Chetan Kadganche Email & Phone Number

Pune, Maharashtra, India

I am currently heading a team of highly skilled Business/Product Analysts, Solution Architects, Data Scientists, Data Engineers & Delivery Managers; to partner with business units across the bank and deliver AI/ML use cases E2E for unlocking next level outcomes.Solutions built, touch various business aspects e.g.- 90+% accurate OCR & NLP based Intelligent Document Processing framework created significant capacity for ops teams- Propensity models for proactive customer/client management that contributed to exponential increase in topline and NPS- Recommender system with average 1.5x better conversion rates over traditional approach- Anomaly detection that reduced 95+% false positives in dealing with suspicious customers, accounts & transactions, thus making processes efficient with strengthened controls- Advanced statistics offered insights driven decisioning for product/proposition managers leading to significantly favorable outcomes by being more customer-centric- Refine and implement go-to state for ML platform iteratively & migration of existing assets; thus reducing OpEx through automation, strengthened controls Functional (Intelligent Document Processing, Anomaly Detection, STatistics as a Service for end users) and engineering (Featurestore, Model Monitoring, ML Data Curation for practitioners) products/frameworks built in-house, reduce implementation times by over 70% through re-use and enhance productivity.I further explored product management during my 6 months internship stint with an early-stage Indian start-up through a unique offering in the bank. This first-hand experience to start-up way of working gave me a lot to take back and apply at BAU for exceptional outcomes.I and the team passionately run various global upskilling initiatives like Women in ML, Masterclasses etc. to boost adoption through awareness & create wider talent pool within the bank

Pune, Maharashtra, India

I developed an in-house AI/ML team by training interested colleagues and partner organizations to deliver range of use cases like:- Collections strategy for card customers to predict customers likely to default, best time/channel for right party contact, self-healing delinquent customers etc. Early-stage implementation improved the overall landscape by ~20% (reduced delinquency, higher efficiencies)- Call center shift planning through time-series models that proved 80% more accurate over traditionally built formulae leading to better bandwidth utilization, improved call handling rate & timeAs a part of the team that introduced Big Data stack to the bank, I played an active role in contributing to the overall vision document through SWOT analysis. This gave me first-hand experience of steering such transformational changes in large scale organization and also boosted my technical expertise around the stackI also delivered traditional data warehousing/ETL use cases those were regulatory (e.g. IFRS9, BCBS239), revenue generating (e.g. setting-up automated data feeds) and tech stack modernizing (e.g. moving off legacy estate).Tech stack involved Hadoop, SAS, Kibana, Kafka, Python/PySpark based AI/ML tooling, Ab Initio & Informatica

Pune, Maharashtra, India

I was handed over the responsibility to co-manage middleware component that was built using IBM-WMB and being used to connect various frontends/apps with backend systems across the bank. There were 300+ services with multiple versions for most of those. Conflicting priorities and time pressure was leading to frequent issues w.r.t. services availability. I, jointly:- Established robust config management to have better control on overall estate- Introduced Jenkins/Maven based automated build & deployment framework with integrated CIT suite that led to better control and fail fast mechanism for proactive remediation- Defined most suitable ways of working for development teams to facilitate efficient management of parallel threads with reduced conflicts in code baselinesAll this led to ~60% improvement in overall uptime and 20% faster change implementation time in production.I led 2 of the priority initiatives to transform wealth and corporate customers/clients on-boarding journeys. These were highly manual and took exceptionally long time due to functional and technical complexities involved. Integrating systems and carefully re-designing processes, the overall on-boarding time was reduced by ~70% with MVP delivered in little over 9 months. Automation also enabled additional benefits in terms of increased revenue through early realization of customer/client relations & cost savings as a result of optimized FTEs involved

Pune, Maharashtra, India

Worked as a bridge between business and technology teams to manage Bundling propositions for UK retail customers, by handling multi-disciplinary IT deliveries ranging from £5k to £1m+, involving diverse tech stack (mix of Siebel, Java, .Net, SAS etc.) with global teams. Alongside launching new promotions, I led some of the complex changes like bulk price refresh, moving customers off retired promotions etc. that involved refreshing entire portfolio in challengingly short span.During this period, working closely with amazing mentors and focussed groups in BT; we could significantly optimize the overall time & efforts needed to manage such changes. Key highlights for the role being: * Self-serve tool for business that enabled new promotions launch in days vs. weeks giving BT significant competitive advantage & increased capacity due to automation* Migration of a complex product to Equivalence of Input stack (a regulatory mandate by Ofcom) in challenging timelines including a hard stop to existing processes/connections to ensure strict compliance

Pune, Maharashtra, India

I took over the ownership for order placement module as a result of changes in existing team. It was quite critical to optimize the orchestration journeys to avoid unnecessary processing overhead on involved components in BSS & OSS stack. Reviewed every product journey carefully, refreshed architecture to pre-empt such threads thus reducing stress on E2E stack and also saving licensing cost where charges were based on number of transactions processed.Also- identified and enhanced the logic (functional & technical) that was inherited from legacy windows-based application to make overall processes more robust and efficient. This not only optimized infra utilization by ~25% but also reduced ~60% developer efforts needed to introduce a new or change an existing product/journey in the application through code modularizationThis strengthened my technical expertise in .Net & Oracle stack and my understanding around n-tiered architecture.

Pune, Maharashtra, India

Order placement module for BT-Small and Medium Enterprise CRM application, responsible for auto-orchestrating flows for OSS & BSS eco-system.As a fresher, I joined the team in migrating an existing windows-based application to web-based construct from scratch. I spent significant time in gaining an understanding of existing application by going through the code, running the journeys locally, interacting with experts. I documented the logical flows by harvesting the code that became reference point for team to re-design application. I also learnt .Net and Oracle technologies from seniors in the team and writing some small assignments that aided to project objectivesFrom very early phase, I started owning modules independently and proposed fundamental changes to improve overall application performance. Was fortunate enough to have a team that always encouraged my approach and giving me freedom to explore wider areas that aided to my experience.

Pgp - Cloud Computing

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Pgp - Business Analytics & Business Intelligence, Business Statistics

A 12 month program with an industry endorsed unique pedagogy that blends general management and analytics

Pgp - Business Analytics & Business Intelligence

A 12 month program with an industry endorsed unique pedagogy that blends general management and analytics

Bachelor Of Engineering, Information Technology

Jr College

Schooling, Science