Archit Garg Email & Phone Number

Newark, New Jersey, Us

As a Lead Data Scientist in Prudential's Chief Data Office, I leverage AI and machine learning to drive efficiencies and enhance customer experiences within the Individual Life Insurance business. Over the past 5 years, I have led and delivered to impactful projects aimed at optimizing underwriting and distribution processes, making them faster, more cost-effective, and customer-centricAccelerating Underwriting Decisions with AI★ Designed and deployed various AI solutions leveraging survival analysis and ensemble models, enabling accelerated and accurate underwriting decisions★ Delivered end-to-end data science solutions for two successful product launches, delivering instant decisions and optimizing costs★ Built a flagship longevity engine for the team, which is currently utilized in underwriting, and being expanded to actuarial pricing and customer engagement for broader business impact★ Contributed to the launch of HighPeak, a Prudential startup, to commercialize the longevity engine in financial planning and adjacent markets.Driving Innovation with GenAI Tools★ Developed tools to assist advisors with life insurance quotes, leveraging Prudential's underwriting expertise to build a GenAI-powered system to deliver instant, accurate quotes in interactive environments★ Enhanced advisor interactions through AI applications, supporting self-service functionality and query resolutionTechnical Expertise:★ Advanced ML/AI Techniques: Natural Language Processing (Text Embeddings, Named Entity Recognition), Survival Analysis, and Ensemble Models (e.g., XGBoost).★ Generative AI and LLMs for enterprise applications.

Newark, New Jersey, Us

Newark, New Jersey, Us

New York, Ny, Us

HighPeak is an early-stage, innovation-driven company backed by Prudential, focused on delivering actionable insights in life, health, and wealth. HighPeak is developing cutting-edge solutions for financial planning, investment management, health and wellness, and insurance underwriting.My role at HighPeak includes:★ Strategizing Data Science Initiatives - Leading the design of HighPeak’s data science strategy, enhancing capabilities to create impactful, client-focused products★ Leveraging Prudential’s vast data resources to develop commercially viable solutions in longevity, healthcare, and long-term care.★ Client Engagement - Collaborating with clients and advisors to identify needs and refine offerings, ensuring products address real-world challenges effectively.

Newark, New Jersey, Us

During the internship, I worked with the AI group at Prudential to support the Individual Life Insurance business. ★ Developed an Rx-based mortality risk classifier, incorporating both structured and unstructured information from 3rd party vendors into usable forms through techniques like NLP and Deep Learning.★ The project helped identify misrepresentation of condition-related information by applicants and make use of historic unadmitted data.

Stamford, Ct, Us

I was part of the LI4M (Location Intelligence for Marketing) initiative at Pitney Bowes, and worked on their data-driven initiatives. Handled multiple data science projects, and led the data science effort in improving the customer outreach:★ Developed a customer segmentation/similarity model to improve customer outreach and leads assessment★ Built a Revenue Estimation model to predict sales of product lines targeted for SMB clients. ★ Expanded the analysis using various data sources, including minute-level mobile trace (location) data, location intelligence data owned by Pitney Bowes, and purchase patterns/transactional history through Pitney Bowes' online e-commerce platforms★ Developed predictive models to estimate clients' retention/renewal rates, drilling into the potential factors influencing the decisions

Stamford, Ct, Us

As an intern at Pitney Bowes, I incorporated data-based insights to drive customer-outreach decisions★ Built a Recommendation Engine for leads identification, utilizing the Pitney Bowes' Location Intelligence data★ Incorporated mobile trace data analysis, including routine pattern extraction and lookalikes generation; this data set included minute-level trace information of clients/customers★ Generated clusters based on demographics and purchase history to identify potential leads★ Worked majorly in Google BigQuery and GCS

Delhi, New Delhi, In

Worked part-time under the guidance of Dr. S.K. Pal (Scientist 'G', Scientific Analysis Group, DRDO) in the domain of machine learning and cryptography.★ The primary topic of research was incorporating neutrosophic soft set theory in the decision making process of neural networks, in order to incorporate fuzzy logic into the decisions★ Presented work in International Conference on Recent Trends in Engineering and Material Sciences (ICEMS-2016).

Delhi, New Delhi, In

Worked as an intern/later part-time with Dr. A.K. Bhateja (Outstanding Scientist & Director, DRDO).★ Primary topic of research was building an Offline Signature Verification system using Machine Learning and other Image Processing techniques★ Worked on traditional techniques such as SVM and Neural Networks, and incorporated new researches such as Minimal Complexity Machines to offer higher accuracy with limited observations★ Explored various computer vision techniques and swarm-based algorithms for image preprocessing and feature engineering★ Minimized the False Acceptance to < 1%

Master Of Science - Ms, Computational Finance

Bachelor'S Degree, It & Mathematical Innovation

High School