Sumit Gulati

About Sumit Gulati

I\'m a results-driven Data Scientist with 6+ years of experience solving complex business problems across travel, finance, and enterprise tech domains. My core expertise lies in developing scalable ML and GenAI solutions - from high-accuracy demand forecasting models to LLM-powered conversational agents - integrating structured and unstructured data.At Tredence, I currently lead AI-driven initiatives for global hospitality clients, including:Forecasting hotel demand using advanced deep learning models (LSTM, TFT)Architecting Agentic AI workflows that optimize customer experience by analyzing ITR drivers through structured scores and guest feedbackBuilding production-grade RAG pipelines and LLM integrations using LangChain, Python, and cloud-native toolsPreviously, I automated credit risk models at Gojoko, deployed real-time fraud detection pipelines at Phenom People, and built analytical tools at AXA XL. I thrive at the intersection of machine learning, GenAI, and business strategy—delivering insights that scale.Skills: Generative AI (RAG, LangChain), Python, ML/DL (XGBoost, LSTM, TFT), AWS, SQL, Docker, Kubernetes, CI/CDCertifications: Databricks Generative AI Engineer Associate (Valid May 2027)Let’s connect if you\'re working on next-gen AI solutions or need a thought partner for applied ML and GenAI at scale.

Experience

1. Associate Manager

   Tredence Inc.

   Jan 2025 — Present · Bangalore Urban, IN

   Over the course of my role, I’ve had the opportunity to solve multiple high-impact business problems, including:1⃣ ML-Driven Price Recommendation | Global FinTech EnterpriseBuilt a price recommendation system for a large-scale global financial technology company, where the challenge was to balance revenue optimization with customer behavior and market dynamics.Tech stack: Python, ML models, feature engineering, optimization techniques, experimentation frameworks.2⃣ Prescriptive ML: From Prediction to “What Should Change”Solved business problems where prediction alone wasn’t enough—designed optimization and simulation layers on top of ML models to identify which levers need improvement to reach target business outcomes.Tech stack: Forecasting models, optimization algorithms, scenario simulation, performance monitoring.3⃣ Agentic GenAI Platform | European Travel & Hospitality LeaderCurrently building an MCP-based Agentic AI system for a Europe-based global Travel & Hospitality company, enabling tool-augmented LLM workflows that reason over structured + unstructured enterprise data.Tech stack: LLMs, MCP, Agentic AI, RAG, orchestration frameworks, enterprise data tools.

Education

• Institute and Faculty of Actuaries

  Actuarial Science

  2016 — 2022

• Delhi University

  Bachelor of Science - BS, Statistics

• Applied Roots

  Applied AI and Machine learning, Artificial Intelligence

• Ramlal anand college

  Bachelor of Science, Statistics

  2015 — 2018

• Acharya Nagarjuna University

  Master of Science - MS, Statistics