Headline

AI & Data Science Graduate | LLM Fine-Tuning · Multimodal AI · Python · SQL | Open to Data & ML Roles (Part-Time/Internship)

About

I'm an MSc Artificial Intelligence candidate at Queen Mary University of London, combining a Data Science degree with hands-on experience in data analytics, research engineering, and applied machine learning. My work sits at the intersection of structured data and intelligent systems. My recent focus has been on the practical deployment and evaluation of Large Language Models — fine-tuning LLaMA and Qwen models via Ollama, experimenting with multimodal alignment using LLaVA, and building retrieval evaluation frameworks to measure model reliability and reduce bias. I care deeply about building AI systems that are both technically rigorous and genuinely trustworthy. Beyond AI, I bring two years of professional experience as a data analyst and research associate, where I designed data pipelines, built research databases, and delivered insight reports that drove business decisions at R&D and commercial teams. I'm currently based in London, available for part-time roles (up to 20 hrs/week) or internships in data science, machine learning engineering, or analytics. If you're building something data-driven and want someone who ships as well as researches — let's connect.

Location

London Area

Work experience

Senior Data Analyst (R&D) at Universal speciality chemical’s, May 2025 - Sep 2025 · 5 mos, On-site, Led end-to-end data pipeline design for R&D analytics, reducing manual reporting overhead by 30% and accelerating insight delivery to research leadership. Owned data quality governance across multiple product datasets, implementing validation frameworks that improved data accuracy to 84%. Collaborated with cross-functional R&D teams to translate experimental results into actionable dashboards using Python and visualisation tooling. Promoted from Data Analyst within five months in recognition of technical contribution and stakeholder impact.

Data Analyst (R&D) at Universal speciality chemical’s, Dec 2024 - May 2025 · 6 mos, Mumbai, Designed and maintained structured data pipelines to support ongoing R&D experiments, enabling faster iteration cycles for the research team. Applied statistical modelling techniques to identify patterns in chemical compound data, surfacing insights that informed 3 product development decisions. Built automated reporting workflows using Python and SQL, cutting manual processing time by 7 hours/week.

Research Associate at Datamatics Business Solutions, May 2024 - Aug 2024 · 4 mos, Conducted structured stakeholder interviews across 100+ business units to surface market trends and strategic intelligence for senior management. Architected an online research database to consolidate qualitative and quantitative data, improving retrieval efficiency for the wider team. Delivered a comprehensive research report to senior leadership that directly contributed to a revenue-generating initiative valued at 30L Collaborated with cross-functional teams to resolve research discrepancies, improving data reliability across three project workstreams.

Social Media Director at SIES College of Arts, 2023 - 2024 · 1 yr, Developed and executed a content strategy that grew page engagement by 120% and increased the follower base by 50% over 12 months. Managed student communications and event promotion for a student body of 60, improving response times and query resolution.

Education

Master of Artificial Intelligence, Queen Mary University of London

Bachelor of Science, Data science, SIES College of Arts, Science & Commerce SION(W)