Open to opportunities

Navami Sanil

@navamisanil

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MSc Data Scientist skilled in big-data pipelines, validation, and AI-assisted research.

United Kingdom

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What I'm looking for

I seek roles focused on AI-driven research automation, large-scale data pipelines, and data quality assurance within collaborative, growth-oriented teams.

I am an MSc Data Science (Distinction) graduate experienced in building data pipelines, validating large-scale datasets, and producing actionable insights using Python, SQL, Apache Spark/PySpark, and statistical modelling. I have managed and analysed datasets exceeding 65 million records, implemented automated workflows, and delivered reproducible analytical documentation to support cross-team collaboration.

I have practical industry experience as an AI/ML Engineer and Data Science intern where I performed data validation, cleaned and structured data for modelling and reporting, and produced analytical summaries to inform operational decisions. I am passionate about AI-driven research automation, data quality assurance, and applying market intelligence to generate reliable, data-driven outcomes.

Experience

Work history, roles, and key accomplishments

Current

Sales Assistant

Current

Subway

Apr 2024 - Present (1 year 11 months)

Maintained accurate transaction records and POS data entry in a high-volume retail environment and analysed sales trends to support efficient shift operations and service quality.

Transaction recording Sales Analysis Excel Customer Service Data Entry Reporting

AI / ML Engineer

Orbital Locker Company Ltd

Feb 2025 - Jan 2026 (11 months)

Managed structured and semi-structured datasets supporting analytics workflows and reporting pipelines, performed data validation to ensure analytical reliability, and documented pipelines to improve cross-team collaboration.

Python SQL Data Validation Data Pipelines Documentation ETL Pyspark Data Quality

Data Science Intern

Prodigy Infotech

Aug 2024 - Present (1 year 7 months)

Cleaned and structured datasets using Python and SQL to prepare data for analytics and modelling, identified and rectified missing values and inconsistencies, and created datasets for visualization and reporting.

Python SQL Data Cleaning EDA Data Visualization

Education

Degrees, certifications, and relevant coursework

Northumbria University

Master of Science, Data Science

2024 - 2025

Grade: Distinction (Overall Average: 72%)

Master of Science in Data Science awarded with Distinction; studied machine learning, data engineering, data visualisation, cloud computing, and applied analytics.