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Laxsica Ranjan

@laxsicaranjan

Analytics Engineer turning complex data into reliable business insight.

United Kingdom
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What I'm looking for

I seek a role where I can improve data quality and reliability, build scalable analytics products, apply engineering best practices, and partner with stakeholders to enable self-serve decision-making.

I am a technically driven Analytics Engineer with over five years' experience in fintech and insurance, focused on turning complex logic into reliable, reusable data that teams trust.

At Shawbrook Bank I improved a self-serve analytics app, cutting dashboard load times from 11 minutes to under 5 seconds, built refresh orchestration with Celery, and delivered an ML forecasting model to support Marketing and Finance.

At AXA I designed and maintained ETL workflows in Databricks, applied engineering practices to make models regulatory-ready, refactored pricing logic into class-based, tested modules, and established Git and CI/CD standards to reduce defects.

I care about data quality, practical solutions and enabling stakeholders with clear documentation, self-serve features and training so teams can make confident, data-driven decisions.

Experience

Work history, roles, and key accomplishments

SB
Current

Analytics Engineer

Shawbrook Bank

Apr 2024 - Present (2 years 2 months)

Improved internal analytics performance by reducing dashboard load times from 11 minutes to under 5 seconds, implemented Celery-based refresh orchestration to prevent blank outputs, and built reusable data outputs and ML forecasting to support commercial planning.

AI

Senior Solutions Engineer

AXA Insurance

Jan 2022 - Apr 2023 (1 year 3 months)

Refactored pricing logic into class-based, reusable modules, managed Azure DevOps deployments with automated validation, and established Git branching and PR standards to reduce defects and improve delivery quality.

AI

Solutions Engineer

AXA Insurance

Jun 2020 - Jan 2022 (1 year 7 months)

Designed and implemented pricing-platform solutions supporting underwriting and data science, supported Azure DevOps deployments with pre- and post-deployment validation, and drove team productivity through retrospectives and stand-ups.

Education

Degrees, certifications, and relevant coursework

CS

Cass Business School

Master of Science, Financial Mathematics

2018 - 2019

Completed an MSc Financial Mathematics (Specialist Master’s Programme) with coursework including fintech and applied programming modules; focused on quantitative finance and computational techniques.

City, University of London logoCL

City, University of London

Bachelor of Science, Mathematical Science with Finance and Economics

2015 - 2018

Grade: 2:1

Earned a BSc in Mathematical Science with Finance and Economics, covering advanced mathematics, finance and economics modules and a final-year dissertation.

NG

Nonsuch High School for Girls

A-levels / GCSEs, Secondary Education

2008 - 2015

Completed secondary education with A-levels in Mathematics, Further Mathematics and Economics and a strong set of GCSE results.

Tech stack

Software and tools used professionally

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