GenAI Solution Architect
LTIMindtree
مجموع سنوات الخبرة :20 years, 11 أشهر
• Implemented semantic knowledge mining solutions using Azure Cognitive Search and OpenAI, including ChatGPT 3.5 & GPT 4. Developed and implemented chatbot and
intelligent document processing workflows using Azure AI services and Azure Applied AI services.
• Designed efective prompts to achieve the desired outcomes with LLMs (Large Language Models). Used Semantic kernel to experiment and apply various prompts and parameters.
• Used Ada, Curie, text Davinci, GPT 3.5/GPT 4.0 turbo models. Applied Zero shot
learning, few shot learning, Chain of Thought (COT), ReAct and RAG (Retrieval Augmented Generation) approaches.
• Built a conversational understanding model to understand the users intent and perform the appropriate action.
• Applied various forecasting techniques for resource requirement forecasting across business units.
• Built scalable ML solutions to enhance AML in KYC domain, transitioning POCs from sandbox to production.
• Designed AI/ML solutions, evaluated AI/ML/DL models, and led data monetization and data strategy planning.
• Developed an ML-based credit decisioning scorecard using alternative data sources for financial institutions, which assessed credit risk at the LOS stage. Applied
Logistic Regression and Random Forest algorithms and deployed the model using AWS Sage Maker. The scorecard increased converted leads by ~23% in loan value and improved application approval rate by 14%.
• Built and deployed product recommendations for personal finance management, enhancing average product holding per customer. Developed models for customer segmentation based on CLTV across multiple product holdings.
• Transformed existing product lines using AI/ML, including OCR narration correction, standardization, sister concern identification, and anomaly statement detection.
• Built POCs for churn prediction on CASA portfolio.
• Successfully built a Data Science team from scratch, and efectively developed and implemented the organizations data science vision and advanced analytics strategy. Fostered a data driven culture to drive business growth.
• Successfully transformed existing product lines using AI/ML techniques, includes:
• Implementing OCR narration correction through language NLP and error models.
• Standardizing OCR output from Abby using ML and identifying sister concerns in transactions with Fuzzy logic and N-grams.
• Detecting anomalous statement patterns using metadata and identifying anomaly e-pdf statements.
• Built a CLTV model to segment customers based on their lifetime value across multiple product holdings using an RFM-based approach.
• Successfully transformed existing product lines by incorporating AI/ML techniques.
• Developed models using curated and aggregated data to build a 360-degree view of PFM users and create a product recommender system. Utilized collaborative filtering and market share analysis to identify lost wallet share, ultimately helping to improve the average product holding per customer.
Led analytical projects by developing models and ofering customized solutions to banking clients, while managing a team of Data Scientists, Data Engineers, and Data Analysts.
• Planned, developed, and executed an all-inclusive roadmap for AI and Data initiatives for a leading bank in the EMEA region.
• Delivered use cases including customer segmentation, cross-sell analytics, customer spend behaviour analysis, customer lifetime value, non-performing account prediction, attrition analytics, and ATM/channel
performance analytics.
• Rolled out personalized recommendation engine using transaction and demographic data.
• Co-created a data analytics blueprint and roadmap, driving improvements in sales and marketing through targeted campaigns and data-driven insights.
• Developed churn prediction models using survival analysis and regression and implemented text mining Strategies for cross-selling and upselling based on social media data.
• Conducted market basket analysis, market trends analysis, and customer satisfaction analysis to inform strategic decision-making and enhance overall business performance.
• Developing and implementing analytical methodologies to forecast cash flow and revenue for various real-
• estate projects and portfolios.
• Analysis of industry trends and peer performance
• Financial modelling for project valuation and profitability
• Financial planning and analysis, including budgeting.
• Preparation of MIS reports for data-driven decision-making
• Project execution planning and data-driven marketing strategies
• Responsible for P & L management of the company.
• Preparation of RFIs, responding to RFPs and costing for proposals.
• Responsible for building financial models for the projects. Bidding of projects facilitated transactions worth Rs25 crore per year.
• Working capital management, Group consolidation, month end, yearend closing of books of accounts. Project size handled - Rs 25 crore.
• Assess the credit and financial strength by performing fundamental credit analysis using both quantitative and qualitative factors.
• Continuous monitoring of the portfolio following industry trends, identifying impacts to key relationships and escalation on critical issues.
• Branch banking and portfolio management.
• Credit presentations and customer management.
• Implemented a credit scoring system to improve the accuracy and eficiency of credit decisions.
• Analysed financial statements and credit reports to determine creditworthiness of borrowers.
• Evaluated credit risk and loan applications to ensure compliance with established policies and procedures.
• Evaluated loan portfolios to identify trends and potential credit problems.
• Monitored customer accounts to identify and address potential credit problems.