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Bibi Ayesha

@bibiayesha2

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Experienced Data Scientist specializing in Generative AI solutions.

India

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful solutions and contribute to a forward-thinking team.

I am a Data Scientist with over 7 years of experience, currently working at Capgemini, where I focus on Generative AI. My journey has been marked by significant contributions to automating processes and enhancing decision-making through innovative AI solutions. I have developed systems that have drastically reduced manual checks and improved retrieval accuracy, showcasing my ability to leverage cutting-edge technologies.

Previously, at Cognizant, I led impactful machine learning projects in the healthcare sector, achieving notable improvements in care planning and customer retention. My expertise spans a wide range of technical skills, including programming in Python and SQL, as well as utilizing advanced AI frameworks and libraries. I am passionate about transforming complex data into actionable insights and driving efficiency through data-driven solutions.

Experience

Work history, roles, and key accomplishments

Current

GEN AI- Data Scientist

Current

Capgemini

Jul 2024 - Present (11 months)

Developed OneVet IVX, automating domain, business, and document verification with GPT and WHOIS APIs, cutting manual checks by 60%. Optimized RAG pipelines using vector databases and LLMs, improving retrieval accuracy by 40% and speeding response by 35%. Built and deployed Agentic AI solutions with LangChain, LangGraph, Langflow, Phidata, CrewAI, AutoGen, and Vertex AI, reducing manual interventio

Generative AI Lang Chain LangGraph Crew AI AutoGen Vertex AI GPT LLMs)Vector Databases Power Automate Rasa

Healthcare-Emblemhealth & ConnectiCare

Cognizant Technology Ltd

Sep 2017 - Nov 2023 (6 years 2 months)

Conducted a machine learning project to predict hospital stay length using regression models; achieved an R² of 0.70, improving care planning by 30%. Applied K-Means and hierarchical clustering to segment customer data, identifying high-value segments that led to a 25% increase in marketing efficiency and a 20% growth in customer retention. Developed and fine-tuned CNN models for medical image cla

Machine Learning Regression Models CNN Transfer Learning Python Pandas NumPy Matplotlib SeaBorn SQL Generative AI Excel Power Query Power Pivot Data Modeling Data Validation

Education

Degrees, certifications, and relevant coursework

Abbas Khan Degree College for Women

BBA, Business Administration

Grade: 84%

Completed a Bachelor of Business Administration, achieving an 84% grade. This program provided a strong foundation in business principles and practices.