Laxsica Ranjan
@laxsicaranjan
Analytics Engineer turning complex data into reliable business insight.
What I'm looking for
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
Analytics Engineer
Shawbrook Bank
Apr 2024 - Present (1 year 9 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.
Data Scientist / Insights
AXA Insurance
Apr 2023 - Apr 2024 (1 year)
Designed Databricks ETL workflows with automated validation and reproducible environments, developed forecasting and scenario models for senior leadership, and improved model traceability for regulatory review.
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.
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
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
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.
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
Availability
Location
Authorized to work in
Job categories
Interested in hiring Laxsica?
You can contact Laxsica and 90k+ other talented remote workers on Himalayas.
Message LaxsicaFind your dream job
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
