Divya JT

Work Experience @ IRMAI.IO

About

I work at the intersection of product, business, and operations, with a strong foundation in data-driven thinking and AI-enabled systems. My career started in academia, where I developed structured thinking and problem-solving skills as an Assistant Professor. I later transitioned into data and AI, gaining hands-on experience in analytics, machine learning, and GenAI applications. Most recently, I worked with a UK-based AI startup, where I contributed across strategy, product operations, and business research. My work involved: Conducting investor, market, and grant research to support business growth and expansion Supporting product validation and operations, ensuring alignment between business requirements and system behavior Designing and experimenting with AI-driven workflows, including multi-agent (MCP-based) systems for task automation Collaborating across teams to improve process clarity, documentation, and execution efficiency I bring a combination of: Analytical thinking (Python, SQL, data analysis) Business and strategy understanding Product and operational execution skills I’m particularly interested in roles where I can bridge business needs with product execution and AI-enabled solutions. 📌 Currently open to opportunities in: • Product Operations • Business / Strategy Analyst • AI-enabled product and operations roles

Country

India

City

Greater Chennai Area

Industry

Higher Education

Skill

Inbound Marketing, Multi-Agent Systems (MCP-based), Opportunity Analysis, Cross-functional Collaborations, Analytical Skills, GitHub, Documentation, Problem Solving, Product Validation, Google Sheets / Excel, AI Product Understanding, Prompt Engineering, AI Workflow Design, Customer Relationship Management (CRM), System Thinking, Retrieval-Augmented Generation (RAG), Large Language Models (LLM), Master Data Management, Machine Learning, Stock Market Analysis

Experience

Work Experience

IRMAI.IO

2025-10 - Present · 1 yr

Chennai

Data Analyst

Forage

2025-6 - 2025-7 · 2 mos

Completed a job simulation with Tata iQ’s Financial Services team involving GenAI-powered data analytics and strategy development. Exploratory data analysis (EDA) was conducted using GenAI tools to assess data quality, identify risk indicators, and structure insights for predictive modeling. A no-code predictive modeling framework was proposed to assess customer delinquency risk, leveraging GenAI for model logic and evaluation criteria. An AI-driven collections strategy was designed using agentic AI and automation, incorporating ethical AI principles, regulatory compliance, and scalable implementation.

Data Science Intern

Unified Mentor

2025-4 - 2025-6 · 3 mos

TCS Stock Analysis – Live & Latest -- Performed live stock price visualization, trend analysis, and technical indicators. Stock Market -- Built machine learning models to forecast stock prices and assess market volatility. Inventory Analysis -- Analysed inventory KPIs to identify inefficiencies and suggest EOQ and safety stock improvements. Cybersecurity -- Explored anomaly detection models to flag suspicious activities in log datasets.