Headline

Data Scientist | Expertise in Machine Learning, GenAI & Product Development | Immediate Joiner | Open to Roles in Finance, Gaming, and Beyond

About

Data Scientist with experience in Machine Learning, Advanced Analytics, and AI Engineering. Proven expertise in designing, building, and deploying scalable end-to-end AI solutions, focusing on Supervised Learning, Natural Language Processing, and Generative AI applications. Currently leading GenAI automation initiatives at Gallagher Insurance, developing document processing systems using Prompts, RAG and Agentic AI based solutions for insurance operations. Passionate about using cutting-edge technologies to deliver business impact through efficiency & automation.

Location

Bengaluru

AI stack

antigravity

cursor

Work experience

Senior GenAI Engineer at Gallagher, Jun 2025 - Present · 1 yr 3 mos, AI-Powered Document Processing & Business Automation • Architected and deployed AI-powered document processing systems reducing manual extraction time from hours to minutes per document, delivering $500K+ annual cost savings for 10K+ insurance documents, enabling brokers to make faster decisions • Engineering multi-modal AI solutions across different Insurance documents using SoTA Models with chain-of-thought prompting and RAG-based contract review systems, achieving 95% accuracy with human-in-the-loop systems • Educating business and tech leaders on foundational GenAI principles, establishing structured frameworks for efficiency and scalability using Azure Functions, Snowflake, and GCP with Pydantic models for business rule validation

Data Scientist at ZS, May 2022 - Apr 2025 · 3 yrs, Bengaluru, Karnataka, India, 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗧𝗮𝗿𝗴𝗲𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • Developed and deployed an algorithm that dynamically recommends which physicians to target based on their behavior, maximizing overall sales and contributing to a 20% increase in the drug sales growth rate. • Implemented a mixed data sourcing strategy and built multiple predictive and reactive triggers to capture brand-wise opportunities at the HCP level, enhancing prediction confidence and maintaining comprehensive coverage. • Led cross-functional teams across time zones, ensuring clear communication and timely delivery of outputs. 𝗗𝗼𝗰𝗜𝗻𝘁𝗲𝗹.𝗔𝗜 - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • Created HCP-level embeddings for multiple markets, compressing 2k sparse features into low-dimensional dense representations to enhance data efficiency and improve model performance by 10% compared to traditional methods. • Utilized these embeddings to develop multiple business opportunities across therapeutic areas, for emerging pharma. • Developed an innovative method to enhance model interpretability and build stakeholder trust by calculating SHAP values for original features, providing clear explanations alongside HCP predictions for a therapy area in given market. 𝗥𝗲𝗱𝗮𝗰𝘁𝗼𝗿 𝗕𝗼𝘁 • Developed an advanced document redaction bot for clinical trial PDFs using generative AI and state-of-the-art LLMs, implementing a human-in-the-loop system to automate personal information redaction across diverse document types. • Achieved 96% recall rate in sensitive information detection while reducing processing time from weeks to hours and cutting per-document redaction costs by over 90% across multiple document formats. • Designed and solely executed the end-to-end redaction bot project, from initial conception through comprehensive user acceptance testing, demonstrating full-cycle product development capabilities.

Product Management Intern at Multiplier, May 2021 - Jul 2021 · 3 mos, Remote, Streamlined operations by developing internal tools that automated manual SOPs, resulting in increased team efficiency and saving more than 60 hours of manual tasks. Partnered with the Product Manager to design comprehensive wireframes, user journeys, and workflow diagrams for over 10 product features. Designed and executed a detailed 12-step onboarding workflow for new members, enhancing organizational integration and operational effectiveness.

Research And Development Intern at Cosy Kisaan, Sep 2020 - Oct 2020 · 2 mos, Collaborated within a 4-member engineering team to design the virtual model of the container farm. Conducted market research to identify potential customers, analyze competition, establish KPIs, and coordinate raw material arrangements.

Core Organising Team Member at Spring Fest, Aug 2019 - Jul 2020 · 1 yr, Kharagpur Area, India, Selected among 200+ applicants, managed a team of 35 associates and 25 volunteers to publicize Spring Fest 2020 across three states, achieving a 110% increase in participation. Led sponsorship efforts that secured over INR 17 lakhs, organized an international carnival with global artists, handled branding deliverables for 85 companies amounting to INR 1.5 Cr, and developed the official annual newsletter and souvenirs distributed to 350+ colleges and 40,000 alumni.

Associate Member at Spring Fest, Aug 2018 - Jul 2019 · 1 yr, Kharagpur, India, Doubled event participation through strategic regional promotion in Haryana, Himachal Pradesh, and Jammu & Kashmir. Led a team of 12 Campus Ambassadors and 25 volunteers to deliver branding agreements for 85 companies worth INR 1.2 Cr.

Education

Bachelor of Technology - BTech, Indian Institute of Technology, Kharagpur

Senior Secondary Education, Mathematics, Jayshree Periwal International School - India

Public links

github: https://github.com/Ayush-1600