Nagesh Singh Chauhan

Director - Data Science, AI and Pricing @ PRISM

About

With over 11 yrs of cross-industry experience spanning insurance, retail, telecom, analytics, and hospitality, I currently lead international Data Science, Generative AI, and Pricing initiatives at PRISM. My focus is on leveraging Generative AI, Agentic AI, and advanced machine learning to optimize revenue strategies, demand forecasting, and dynamic pricing across OYO US, EU and G6 Hospitality markets. At PRISM, I lead a high-performing team of data scientists, driving innovation across multiple AI programs. From enhancing customer experiences through intelligent automation to embedding AI into core operational workflows, my goal is to translate technical advancements into tangible business outcomes that fuel growth and efficiency. Earlier in my career, I designed and delivered impactful data science and engineering solutions for leading consulting and analytics firms, building scalable systems that supported enterprise-wide decision-making for global organizations. Specialties: Machine Learning | Forecasting | Deep Learning | NLP | Generative AI | Agentic AI | LangChain | Azure / AWS / GCP | Spark | SQL | Hadoop | Docker | Dynamic Pricing | Revenue Strategy | Data Engineering I am deeply passionate about building intelligent, scalable AI systems that create measurable business value. Always open to collaborations, disruptive ideas, and forward-looking conversations at the intersection of data, AI, and business transformation.

Country

India

City

Gurugram

Industry

Hospitality

Skill

Dynamic Pricing , Agentic RAG, Agentic AI, Langchain, LangGraph, Leadership, Project Management, Data Science, Python (Programming Language), Recommender Systems, Generative AI, Statistics, Pricing Strategy, Apache Beam, Hadoop, Kubernetes, Anomaly Detection, Dynamic Pricing, Apache Spark, Python

Experience

Director - Data Science, AI and Pricing

PRISM

2024-7 - Present · 2 yrs 3 mos

Gurugram

Leading Data Science, GenAI and Pricing initiatives for OYO US, EU and G6 Hospitality.

Data Scientist

PRISM

2022-5 - 2024-6 · 2 yrs 2 mos

Gurugram, Haryana, India

Worked as a Data Scientist and possess a strong proficiency in designing and executing pricing and revenue optimization strategies, employing dynamic pricing, data science, and machine learning methodologies to successfully drive revenue maximization across OYO hotels in Europe, United States, and LATAM. Few projects in OYO include: -Design and Optimize Plutus Pricing Algorithm -Demand forecasting algorithm to predict future demand. -Review Analytics (Booking.com and Expedia.com, Google, OYO App/Web) using GenAI -Autoresponder of user reviews(Google my Business, Booking.com and Expedia.com) -Hero Pic Optimization in Booking.com -Call Center Optimization using GenAI -OYO Hotel Location Correction(India)

Data Specialist

AIS (Applied Information Sciences)

2021-4 - 2022-5 · 1 yr 2 mos

Hyderabad, Telangana, India

Worked as a Data Specialist and built an Anomaly Detection solution on SQL Servers. Assisting Recovery Automation Service Team at Geico by helping raise alerts when the SQL servers start going into a state of anomaly. The Deep Learning model preemptively detects anomalies in SQL servers and alerts the corresponding team in advance. This reduces the time and effort to triage and recover the application going into a state of anomaly. After experimenting with multiple solutions we finally used a 1000 node Autoencoder neural network to detect anomalies.

Data Scientist

CirrusLabs

2019-1 - 2021-4 · 2 yrs 4 mos

Hyderabad, Telangana, India

Worked as a Data Scientist in Cirruslabs. Few of the projects include: -Deep Learning Toolkit -Genre classification based on audio data -Email Classification System -DNA Sequence data classification model

Bigdata Analyst

TEG Analytics

2017-7 - 2018-12 · 1 yr 6 mos

Bengaluru, Karnataka

Worked as a bigdata analyst and worked on core Hadoop and Spark based projects. Few of the projects include: -Migration of Nike project to Spark cluster -Automation of Ad-Efficiency for Clorox -Migration of Clorox project to Spark Cluster

Solution Integrator

Ericsson

2015-2 - 2017-6 · 2 yrs 5 mos

New Delhi Area, India

Designed and implemented large-scale log processing pipelines using Hadoop, Hive, and Spark to analyze server logs. Spearheaded the setup of in-house Big Data infrastructure on Hortonworks, enabling efficient data storage in HDFS and distributed processing using the Hadoop ecosystem.