Jul 2025 – Present · 11 mos · United Kingdom · Remote

• Delivering AI, ML, and Data Science solutions for clients in data management, healthcare, finance, and technology sectors across the UK and internationally(UAE).
• Work includes end-to-end Client Workflow Management, ML pipeline development, GenAI applications, predictive modelling, and data strategy consulting.
• Available for short-term contracts, long-term engagements, and strategic advisory roles.
• Clients include startups, enterprises, and public sector organisations (under NDA).

Mar 2025 – Present · 1 yr 3 mos · Remote

• Currently building Satiscal Billing Solutions, a medical billing startup focused on AI-powered revenue cycle management for US healthcare providers.

Oct 2024 – Jul 2025 · 9 mos · Brighton, England, United Kingdom · On-site

• Leading ML data products for health inequality analysis, cutting insight delivery time by 80% and reducing review cycles by 40% for pharma and healthcare clients (BeiGene, Roche, NHS, WMUK).
• Built and deployed custom ML pipelines and GenAI solutions using AWS, Llama3, GPT-4o, RAG, ChromaDB, and LangChain, enabling automated health data correlation (e.g., Diabetes, Cancer, Rare Disease – Waldenstrom Macroglobulinemia) across NHS, Census, IMD, RMR datasets.
• Developed ICB-to-PCN-to-GP drill-down dashboards (Streamlit, Plotly) with SHAP-based explainability, improving stakeholder decision-making across doctors, GMs, NGOs, and political leaders.
• Assisted in Optimized LLM validation pipelines for claim verification (MLR) using PDF parsing, AWS Textract, RAG, RecursiveCharacterTextSplitter, multi-temperature prompting, and LLM Caching (ChromaDB), increasing fact-checking accuracy and reducing manual errors.
• Bridged technical insights with business impact, creating client-facing deliverables (weekly reports, presentations), conducting stakeholder meetings, and mentoring team mates, enhancing business storytelling and data-driven decision-making.

Oct 2023 – Sep 2024 · 11 mos · Brighton, England, United Kingdom · On-site

• Health-equity.ai
• ● Led end-to-end data pipeline with Co-founders, managing NHS and ONS data collection, preprocessing, and analysis; identified correlations between health outcomes and socioeconomic factors; developed dashboards to standardize statistical and ML experiments.
• ● Produced comprehensive documentation, reports, and presentations to effectively communicate analysis to stakeholders, demonstrating strong business acumen. Took responsibility for testing processes, ensuring quality control, and mentoring other interns in data handling and analysis.

Apr 2022 – Sep 2023 · 1 yr 5 mos

• Developed and deployed multiple, classification and regression algorithm-based, machine
• learning models, on AWS, to predict the probability of ticket confirmation, improve the scoring
• metrics, and automating pipelines that increased efficiency by 50%.
• Managed database team of 4+, conducted workload assessments, and devised new operational
• processes that increased productivity and improved coordination.
• Integrated ELK stack in the pipeline architecture, to reduce the data retrieval time by 90% and
• improved the scalability of the ETL pipeline.
• Built Kibana and Streamlit dashboards to monitor model performance and provide feedback to
• the trained models, assisting in improved accuracy by up to 5% with each iteration.
• Designed ML stores, generated domain-specific feature documents, and orchestrated pipelines in
• collaboration with the CTO.

Mar 2020 – Apr 2022 · 2 yrs 1 mo

Jan 2020 – Feb 2020 · 1 mo

Sep 2019 – Dec 2019 · 3 mos · Mumbai, Maharashtra, India

• Python Developer - Data Science
• https://internshala.com/verify_certificate
• AA2E6C2A-293F-D680-6FCA-EBAF86CBFB8A

Feb 2019 – Aug 2019 · 6 mos · Mumbai, Maharashtra

• Actively seeking full-time job opportunities in the field of Machine learning, Deep learning and Data science as a Python developer with experience in programming Web application development

Jul 2018 – Jan 2019 · 6 mos · Mumbai Area, India

• Deployed at a Client site: Adani Power(prev Reliance Power) to assist in developing a new Web
• portal for Mumbai Customers on Liferay and Java framework.
• Developing portlets, hooks, web services, payment gateway, and web APIs, and providing
• support to the business team.

Feb 2016 – Jun 2018 · 2 yrs 4 mos · Mumbai Area, India

• Creating portlets on the Liferay Framework for the in-house portal LoopIn, and external portal
• and handling the changes by end users, communicating requirements from the Design team and
• client
• Adding functionalities in the libraries implementing programming, analysis, database, front-end,
• and backend development skills