Kirti Shah

Creation of Knowledge Base by Generating SOP Documents for New Security Compliance Policies and Alerts

• Objective: Leverage Gen AI-based solutions to generate SOP documents with remediation steps for new security compliance policies and alerts. The documents created will provide clear, step-by-step guidance for remediating noncompliant configurations, and ensuring adherence to security policies.

Generating Terraform scripts

• Objective: To develop a Gen AI-based solution for generating Terraform scripts based on user queries. The solution will automate the creation of Terraform modules while ensuring adherence to Nestlé's standards for both B2C/B2B, and B2E processes.

GADA - Document to Functional Design Document

• Objective: Create a functional design document (which captures the main high-level contents from the context as an output) from BI design documents (KPI design document, reports design document, and functional description doc as input) using Gen AI.

GADA - Data to Documentation

• Objective: Utilize Gen AI to generate a comprehensive data discovery and analysis report with formulas, functions, relationships, and dependencies (by scanning tables, columns, relationships, data dictionaries, and data models). This facilitates the seamless migration from Tableau (source) to the Power BI (target) platform.

Unilever

• Objective: Develop an AI-based solution that can generate dynamic text of KPIs from Power BI dashboards. Dynamic text generation and narration of KPIs using OpenAI GPT-3.
• Performed diagnostic and due-to analysis using AI/ML and game theory approaches to evaluate the impact of KPIs like RTI and marketing spends on percentage growth by sales and volume across different categories, manufacturers, and brands.

BAT Consumer Analytics 2.0

• Objective: Enhance the existing Customer 360 model with psychographic features to develop a deeper understanding of customers and their preferences.
• Improve the segmentation model to emulate Kantar Segments, and enable effective targeting to achieve data-driven marketing and hyper-personalization goals.

Accenture works on trade reconciliation for JPMC

• Responsibility: Developed an approach for the reconciliation of trade data and utilized ML/NLP to automate the process.

ABSA - Classification & Recommendation System Model for Zambia, Botswana Propensity Model for Lead Optimization of Marketing Campaigns

• Objective: Target potential customers by analyzing customer demographics, product holding, transaction type, spend behavior, etc., and provide optimized leads to improve conversion rates for various marketing campaigns such as Cards to CASA, Loan's top-up, CA to 5A customers, etc.

Recommendation System: Next Best Product for Retail Banking Customers

• Objective: Recommend the next best product by identifying similar customers based on their previous product holdings for Savings & Current Account customers.

Dagrofa - Classification of Transactions as Fraud/Non-Fraud

• Objective: Detect anomalies and classify transactions as Fraud/Non-Fraud based on business rules using advanced analytics and machine learning.

Microsoft - Bucketing user-defined complexities into simple, medium, and complex

• Objective: Estimate the recommended effort for user-defined cases, and classify them into one of the reference complexities: Simple, Medium, or Complex.

CBDT - Topic Modeling on Response Data

• Objective: Identify key themes relating to distinct business types from the remarks data, using text mining and NLP techniques.

CBDT - Scrutiny Analysis

• Objective:
• Identify factors that impact the value of addition amount > I10L after assessment (Addition Amount = Assessed Income - Total Income) for scrutiny cases.
• Predict the likelihood of scrutiny cases resulting in an addition amount > I10L after assessment.

Operational Management

• Ensure smooth branch operations management and compliance with banking policies and procedures.
• Monitor cash flow, branch transactions, and overall branch performance metrics.
• Implement measures to improve operational efficiency and minimize errors.

Customer Service

• Supervise the customer service team to ensure high-quality customer relationship management (CRM).
• Resolve customer queries promptly and enhance the customer experience.
• Identify and address customer needs by recommending suitable banking products and services.

Sales and Revenue Generation

• Leverage cross-selling and upselling techniques to maximize branch revenue.
• Drive branch sales targets for retail products such as personal loans, credit cards, and insurance plans.

Team Leadership and Development

• Lead, guide, and motivate branch staff to achieve operational and sales objectives.
• Conduct performance evaluations and recommend staff for promotions or additional responsibilities.

Compliance and Risk Management

• Oversee branch compliance with regulatory guidelines, operational policies, and anti-money laundering (AML) measures.
• Conduct regular audits and maintain proper documentation for operational transparency.
• Monitor and manage risk exposures in areas such as loan approvals, customer accounts, and cash handling.

Reporting and Documentation

• Prepare detailed reports on branch performance, sales metrics, and operational issues.
• Maintain accurate records of customer transactions, compliance activities, and branch inventories.
• Submit periodic updates and proposals to higher management for operational improvements.