Data science · Applied AI · Leadership

Turning complex AI into clear business advantage.

I am a Data Science Consultant specializing in enterprise AI orchestration, scalable data architectures, and end to end machine learning solutions across diverse industries. With experience spanning applied research labs to fast paced enterprise environments, my work bridges deep technical execution with strategic leadership, client demos, and RFP development. As the founder of AI Guild, I drive executive conversations on generative AI implementation, cross industry innovation, and public speaking.

EnterpriseData Analytics and AI solutions
FounderAI Guild community
PublishedResearch & author
01

Work experience

Data-driven insights for impact

01

Oct 2025 — Present · Jun 2024 — Aug 2024

Chicago, IL, USA

CGI

Data Science Consultant

  • Collaborated with cross-functional stakeholders (consulting, engineering, product) to translate business requirements into scalable, reusable AI accelerators and PoCs.
  • Built and integrated LLM-based research workflows using LangChain and LangGraph, enabling faster analysis through automated market scanning, financial checks, and synergy assessment.
  • Improved proposal throughput and consistency by enabling standardized AI-assisted response generation while maintaining compliance and data privacy constraints.
  • Developed AI-driven solutions by integrating LangChain, OpenAI GPT APIs, and Retrieval-Augmented Generation (RAG) pipelines to streamline data retrieval and translation processes for a pharmaceutical client.
02

May 2025 — Sep 2025

Jacksonville, FL, USA

Florida Blue

Data Engineer

  • Engineered scalable ETL pipelines to process high-volume claims and enrollment datasets, improving data reliability for predictive health analytics.
  • Optimized data integration from disparate sources (EHRs, claims, enrollment logs), reducing preprocessing latency by 30%.
  • Collaborated across Agile teams to build data-centric UI workflows, validating health and coverage data for 500K+ users.
  • Minimized downstream errors by 22% via real-time validations and smart rule-based logic on dynamic forms.
03

Jan 2024 — May 2024

Camden, NJ, USA

Center of Computational & Integrative Biology

Data Analyst

  • Performed a systematic review and meta-analysis on ecological precipitation data, synthesizing findings from large biodiversity datasets.
  • Extracted, cleaned, and analyzed data on sample sizes, environmental factors, and precipitation patterns, improving data accuracy by 30% through cross-validation techniques.
  • Utilized Python and statistical methods to identify trends and correlations in biodiversity data, contributing to climate impact assessments.
  • Developed quantitative timescale reports providing actionable insights for ecological research and biodiversity conservation strategies.
02

Speaking & convening

Conversations that make AI actionable.

03

Technical practice

Applied projects

04

Publications

05

Education

2023 — 2024

Master of Science, Data Science

Rutgers University—Camden
New Jersey, USA

2019 — 2023

Bachelor of Technology, Computer Science & Engineering

Bhilai Institute of Technology
Durg, India