Cabot Financial

Working on several high-profile projects using cutting edge BigData technologies such as Spark Databricks, Azure, Delta Lake, MLFlow using agile methodology to produce highly sophisticated ML models while working closely with Strategy & Insights and Operations team to operationalise.

Researching new technologies, tools and methodology to improve productivity & efficiency. Developed Large Language Models (LLM/GenAI) PoC using open source and proprietary models to assist in coding and other downstream tasks (summarisation, classification). Developed PoC Q&A chatbot on on structured and unstructured data using advance prompt engineering, RAG and vector database https://shorturl.at/qAQ38 and https://tinyurl.com/5fh63pjm. 

Working on developing a predictive algorithm which includes a combination of four regression models that could help rank 10 million customers based on their Net Plan Value.

Worked on Clustering models on customer segmentation based on their demographics, financials and life-style/socio-economic utilising external data (Experian, Doorda) delivering expected annual gain of £1.2m.

Worked on an advanced analytics projects predicting change in customers lifestyle & circumstances utilising bureau BigData (over 400 variables and billion rows).

Worked on Transformer (BERT) based NLP project that could parse out relevant information lost in call-agents' free text notes, with potential millions of pounds of unrealised benefits.

Senior Data Scientist

South London and Maudsley NHS Foundation Trust

Worked on exogenous multivariate TimeSeries model to forecast A&E admissions. 

Helped identify casual factors to develop local Population Health Management programmes to improve patient's access, experience and outcomes with health services. Utilized Azure ML Studio, DevOps, SQL and PowerBI for end-to-end project delivery which helped in proactively planning for demand and capacity allowing for effective resource allocation and optimization.

Data Scientist

Independent

Worked on several Digital Transformation and Predictive Analytics projects. Worked on Machine Learning projects (NLP) on case management, capacity & demand modelling, market size modelling, inorganic/organic growth strategy, product analytics, market research, due-diligence.

Clients: LEK consulting, Generali Insurance, JLT Employee Benefits, April Intl (France), MSH Intl (France), NHS, Meridian Productivity, ISS

Consultant (Data Science, Management Consulting)

GLG (Gerson Lehrman Group)

Expert Network Council Member

McGRIGOR group

Worked on market research, modelling, organic & in-organic growth strategy and due diligence for several leading insurance clients (AXA, Bupa, Global Benefits Group (GBG-USA))

Senior Business Advisory Consultant

Accenture

Worked on claims analytics, portfolio analysis and population health management (PHM)/Corporate wellness projects for Fortune 250 clients

Senior Consultant, Accenture Strategy

GE Healthcare

Designed a multi-dimensional bespoke tool for strategic business planning

Strategic Programme Management Consultant

UPMC

Worked on large structured and unstructured data (Electronic Medical Records) for business intelligence reporting, providing strategic and operational insights and designing productivity improvement strategies

Senior Analyst

Zeeik, a division of ComPePrice LLC

Advisor, Business and Technology Development

ComPePrice LLC

Data Scientist with strong experience in Machine Learning, AI, GenAI, Advanced Analytics, with  experience in Management consulting in Strategy, Insights and Operations. Entrepreneur experience with two start-ups in the UK and USA (two company patents). Now applying GenAI, Data Science and business consulting skills to advise on strategy and decision-making.

Core Areas of Expertise: Generative AI/LLM, Data Science, Machine Learning, MLOps, LLMOps, Predictive Modelling, Business Analysis, Stakeholder Management, Operations & Process Improvement, Due-Diligence, Financial Modelling, Healthcare IT, BigData (Databricks, PySpark), Azure, SQL, Python.

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