Rishabh Dhiman

AI Researcher

Gurugram, Haryana, India4 yrs 10 mos experience
Highly StableAI Enabled

Key Highlights

  • Developed AI solutions boosting revenue by 18%.
  • Reduced query response times by 85% with AI agents.
  • Improved marketing ROI by 25% through NLP models.
Stackforce AI infers this person is a Data Scientist and Engineer specializing in AI-driven solutions across multiple industries.

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Skills

Core Skills

Natural Language Processing (nlp)Generative AiData EngineeringMachine Learning

Other Skills

Amazon Web Services (AWS)Apache AirflowApache KafkaApache PigApache SparkArtificial Neural NetworksAzure AI StudioAzure Data FactoryAzure Data LakeAzure DatabricksAzure Synapse AnalyticsBig Data AnalyticsBusiness Intelligence (BI)Cloud ComputingConvolutional Neural Networks (CNN)

About

I am an accomplished Data Scientist and Data Engineer with over 3 years of experience delivering AI-driven solutions and optimizing data infrastructure for industries such as pharmaceuticals, BFSI, telecom, and retail. My expertise lies in harnessing advanced AI/ML technologies, natural language processing (NLP), and cloud-based platforms to tackle complex business challenges and drive measurable impact. In my current role as an Advanced Data Science Associate at ZS Associates, I specialize in developing generative AI solutions, including a Large Language Model (LLM)-powered summarization tool that increased revenue by 18% and a conversational AI agent that reduced query response times by 85%. Previously, at Accenture, I led initiatives like building scalable data warehouses to process 100TB+ monthly data and deploying sentiment analysis models that improved marketing ROI by 25%. With a solid foundation in big data, predictive modeling, and business intelligence, I excel at designing and operationalizing AI solutions that enhance decision-making, boost efficiency, and unlock growth opportunities. My technical toolkit includes Python, TensorFlow, Snowflake, SQL, and major cloud platforms like AWS, GCP, and Azure. I hold certifications as an Azure AI Engineer, Data Scientist, and Data Engineer and am deeply committed to continuous learning and innovation. Beyond my professional achievements, I am passionate about mentoring teams, driving collaboration, and exploring cutting-edge technologies like generative AI, deep learning, and LLMs to create transformative solutions. If you’re interested in leveraging data and AI for business growth, let’s connect.

Experience

4 yrs 10 mos
Total Experience
3 yrs
Average Tenure
1 yr 10 mos
Current Experience

Zs

2 roles

Advanced Data Science Associate Consultant

Jan 2026Present · 5 mos

Advanced Data Science Associate

Aug 2024Jan 2026 · 1 yr 5 mos

  • Artificial Intelligence: Data Scientist, AI/ML and LLM Engineer – Pharmaceuticals
  • Gen AI based Summarization Solution: Developed and deployed a large language model (LLM) using transformer-based architecture (GPT) and leveraging natural language processing (NLP) techniques to prioritize and summarize real-time alerts for field representatives, boosting overall revenue by 18%.
  • Gen AI Agent for Conversational Insights: Designed and implemented a generative AI-powered conversational agent using fine-tuned large language models (LLMs) and retrieval-augmented generation (RAG) techniques to extract multimodal insights from structured data, reducing query response time by 85%.
Python (Programming Language)NLTKNatural Language Processing (NLP)Generative AI

Accenture

Data Engineering, Management & Governance Analyst

Aug 2021Aug 2024 · 3 yrs · Gurugram, Haryana, India · Hybrid

  • Data and Applied Intelligence: Data Scientist, Big Data and Cloud Engineer – BFSI, Telecom, Retail, FMCG
  • Cloud based Data Marketplace Solution: Developed a scalable data warehouse and analytics platform using cloud and big data capabilities to enable batch processing of 100TB+ monthly data from 150+ third-party providers, optimizing data workflows and reliability which improved data accessibility by 60%.
  • NLP based Customer Experience Analysis: Developed and deployed a natural language processing (NLP) model for sentiment analysis on social media data using vectorization and ensemble learning algorithms, improving customer satisfaction prediction accuracy by 42% and driving a 25% increase in targeted marketing ROI.
  • AI powered Digital Commerce Analysis: Designed and implemented a pricing optimization and product assortment solution for digital commerce domain using advanced regression and clustering techniques, increasing brand market share by 15% and boosting annual sales by 10%.
Python (Programming Language)Pandas (Software)Data EngineeringNatural Language Processing (NLP)

Cdac,kolkata

Machine Learning Intern

Mar 2021May 2021 · 2 mos · India · Remote

  • Soft Computing and Research: Machine Learning Engineer – Supply Chain Management
  • AI based Volume Management System: Developed a machine learning model using gradient boosting algorithm to classify and predict optimal warehouse locations with 96% accuracy, automating buy and sell processes leading to efficient supply chain management at e-marketplaces and reducing logistics costs by 30%.
Python (Programming Language)Pandas (Software)Machine Learning

Education

Manav Rachna University

Bachelor of Technology - BTech — Computer Science and Engineering

Jun 2017Jun 2021

Central Board of Secondary Education (CBSE)

Class XII — Non Medical

Jan 2016Jan 2017

Central Board of Secondary Education (CBSE)

Class X

Jan 2014Jan 2015

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