Chandan Kumar

• Project: Field Force Navigator (A 20% raise on an annual sale expected).
• Description: It provides an ability to sales reps that brings together targeting and interaction planning (i.e., Next Best Action, opportunity engine), with Gen-AI enabled feedback, Insights, and coaching, it also Enhances sales force effectiveness by digitally equipping each sales rep's to achieve a new level of performance and increasing good sell out outcomes.
• Key Responsibilities & Accomplishments:
• Used GenAI for Content generation using OpenAI GPT-5.
• Used RAG model to develop a ChatBot in FFN project for the sales rep's to ask relevant questions.
• Used Chunking, Embedding, Vector Db, LLM and other components to build a RAG model.
• Built conversational AI to process recorded audio between sales reps and HCPs, generating key insights on interactions, sentiments, and opportunities to inform campaign strategies.
• Building and managing chains of prompts and responses to create complex interactions with model.
• LangChain and LangGraph enables the orchestration of multiple prompts and actions in a sequence.
• Integrated with other Cognitive services such as Azure Text Analytics, Speech Services, Translation Services and PII Removal etc. to enhance the capabilities of applications using GPT-5.
• Utilising Azure data storage solutions like Azure Blob Storage, to manage data used for training and inference.

Project: Marketing Navigator (A $10 million annual impact).

The initiative builds an intelligent system that automates campaign creation through GenAI-driven content generation and advanced retrieval mechanisms. It processes HCP data to produce personalized, data-informed marketing strategies quickly, integrating historical trends with real-time insights for precise targeting. Core capabilities include Agentic AI workflows for complex problem-solving and multi-modal RAG for robust data handling.

Roles and Responsibilities

• Led GenAI content generation using OpenAI GPT-5 to create tailored campaign materials from HCP insights.
• Designed and implemented Agentic AI and multi-modal RAG systems, enabling LLM-powered autonomous agents to plan, invoke tools, and collaborate on business challenges.
• Developed end-to-end Agentic RAG pipeline incorporating chunking, embedding, vector databases, and LLMs for accurate data retrieval and generation.
• Model fine-tuning with domain-specific pharma datasets, including dataset preparation, training execution, and performance validation.

• Project: US Housing Cost Prediction for Hubzu.com
• Description: EDA and Data Cleaning, Training machine learning algorithms of Linear Regression, Support Vector Regression, Gradient Boosting Regression, Stacking of various models.
• Technologies Used: AWS, Python, EDA, and Gradient Boosting Regressor.
• Performed Data Preprocessing and EDA, Analyzing data and Training machine learning algorithms of Gradient Boosting Regressor and also used Hyper Parameter Optimization for best parameter threshold.
• Support Vector Regression, Gradient Boosting Regression, Tried Stacking of various models for best fit.

• Project: Opinion, Sentimental analysing from surveys using NLP.
• Description: Sentiment analysis is the computational Study of people's opinions, sentiments, emotions, appraisals, and attitudes towards entities such as products, services, organizations.
• Technologies Used: Python, RNN, LSTM, NLP, NLTK, Tensorflow.
• Used various NLP techniques like: Sentence Segmentation, Word Tokenization, Stop words removal, Punctuations, Lemmatization and word to vector conversion etc.
• Project: Intuit Turbo VISA Debit Card
• Description: Improving Effectiveness of Predicting Credit Card Default Payment, as it is very important for any card company to be able to recognize fraudulent of Debit card transactions.
• Technologies Used: Python, EDA, PCA, SVM, Matplotlib, Seaborn.
• Performed EDA and Data Cleaning, Training machine learning algorithms of SupportVectorRegressor.

• Project: Marketing- Live Site, Cross Browser.
• Responsibilities:
• Worked as, Python Developer.
• Worked on designing and developing the backend system using python from scratch.

• Project: Card Wallet.
• Responsibilities:
• Worked as, JAVA Developer.
• Worked on designing and developing the backend system using JAVA and Rest API.

• Project: British Telecom(BT).
• Responsibilities:
• Worked as, JAVA Developer.
• Worked on designing and developing the backend system using JAVA and Rest API.